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ORCIDGraham Neubig
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- affiliation: Carnegie Mellon University, USA
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2020 – today
- 2024
[j52]Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. Trans. Assoc. Comput. Linguistics 12: 321-333 (2024)- [j51]Lindia Tjuatja, Valerie Chen, Tongshuang Wu, Ameet Talwalkwar, Graham Neubig:
Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design. Trans. Assoc. Comput. Linguistics 12: 1011-1026 (2024) - [j50]Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig:
Multitask Learning Can Improve Worst-Group Outcomes. Trans. Mach. Learn. Res. 2024 (2024) - [c397]Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R. Mortensen, Lori S. Levin:
Wav2Gloss: Generating Interlinear Glossed Text from Speech. ACL (1) 2024: 568-582 - [c396]Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Russ Salakhutdinov, Daniel Fried:
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. ACL (1) 2024: 881-905 - [c395]Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer:
Instruction-tuned Language Models are Better Knowledge Learners. ACL (1) 2024: 5421-5434 - [c394]Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig:
Better Synthetic Data by Retrieving and Transforming Existing Datasets. ACL (Findings) 2024: 6453-6466 - [c393]Ruiyi Wang, Haofei Yu, Wenxin Sharon Zhang, Zhengyang Qi, Maarten Sap, Yonatan Bisk, Graham Neubig, Hao Zhu:
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents. ACL (1) 2024: 12912-12940 - [c392]Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan:
Evaluating and Improving Compositional Text-to-Visual Generation. CVPR Workshops 2024: 5290-5301 - [c391]Masahiro Kaneko, Graham Neubig, Naoaki Okazaki:
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. EACL (Findings) 2024: 1644-1658 - [c390]Zhiqiu Lin
, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan:
Evaluating Text-to-Visual Generation with Image-to-Text Generation. ECCV (9) 2024: 366-384 - [c389]Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo:
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. EMNLP 2024: 4334-4353 - [c388]Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov:
VIMI: Grounding Video Generation through Multi-modal Instruction. EMNLP 2024: 4444-4456 - [c387]Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig:
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance. EMNLP 2024: 10258-10279 - [c386]Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori S. Levin:
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text. EMNLP 2024: 12267-12286 - [c385]Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. ICLR 2024 - [c384]Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. ICLR 2024 - [c383]Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig:
WebArena: A Realistic Web Environment for Building Autonomous Agents. ICLR 2024 - [c382]Zhiruo Wang, Graham Neubig, Daniel Fried:
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. ICML 2024 - [c381]Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig:
Program-Aided Reasoners (Better) Know What They Know. NAACL-HLT 2024: 2262-2278 - [c380]Simran Khanuja, Srinivas Gowriraj, Lucio M. Dery, Graham Neubig:
DeMuX: Data-efficient Multilingual Learning. NAACL-HLT 2024: 7423-7436 - [i303]Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, Hannaneh Hajishirzi:
Fine-grained Hallucination Detection and Editing for Language Models. CoRR abs/2401.06855 (2024) - [i302]Zhiruo Wang, Daniel Fried, Graham Neubig:
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. CoRR abs/2401.12869 (2024) - [i301]Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, Daniel Fried:
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. CoRR abs/2401.13649 (2024) - [i300]Steffi Chern, Ethan Chern, Graham Neubig, Pengfei Liu:
Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate. CoRR abs/2401.16788 (2024) - [i299]Lucio M. Dery, Steven Kolawole, Jean-François Kagey, Virginia Smith, Graham Neubig, Ameet Talwalkar:
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes. CoRR abs/2402.05406 (2024) - [i298]Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer:
Instruction-tuned Language Models are Better Knowledge Learners. CoRR abs/2402.12847 (2024) - [i297]Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan:
Repetition Improves Language Model Embeddings. CoRR abs/2402.15449 (2024) - [i296]Yueqi Song, Simran Khanuja, Graham Neubig:
What Is Missing in Multilingual Visual Reasoning and How to Fix It. CoRR abs/2403.01404 (2024) - [i295]Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori S. Levin:
GlossLM: Multilingual Pretraining for Low-Resource Interlinear Glossing. CoRR abs/2403.06399 (2024) - [i294]Ruiyi Wang, Haofei Yu, Wenxin Sharon Zhang, Zhengyang Qi, Maarten Sap, Graham Neubig, Yonatan Bisk, Hao Zhu:
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents. CoRR abs/2403.08715 (2024) - [i293]Jennifer Hsia, Afreen Shaikh, Zhiruo Wang, Graham Neubig:
RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems. CoRR abs/2403.09040 (2024) - [i292]Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel R. Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R. Mortensen, Lori S. Levin:
Wav2Gloss: Generating Interlinear Glossed Text from Speech. CoRR abs/2403.13169 (2024) - [i291]Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig:
What Are Tools Anyway? A Survey from the Language Model Perspective. CoRR abs/2403.15452 (2024) - [i290]Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig:
An image speaks a thousand words, but can everyone listen? On translating images for cultural relevance. CoRR abs/2404.01247 (2024) - [i289]Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan:
Evaluating Text-to-Visual Generation with Image-to-Text Generation. CoRR abs/2404.01291 (2024) - [i288]Zaid Sheikh, Antonios Anastasopoulos, Shruti Rijhwani, Lindia Tjuatja, Robbie Jimerson, Graham Neubig:
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models. CoRR abs/2404.02408 (2024) - [i287]Emmy Liu, Graham Neubig, Jacob Andreas:
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models. CoRR abs/2404.03028 (2024) - [i286]Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue:
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? CoRR abs/2404.05955 (2024) - [i285]Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig:
Better Synthetic Data by Retrieving and Transforming Existing Datasets. CoRR abs/2404.14361 (2024) - [i284]Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig:
In-Context Learning with Long-Context Models: An In-Depth Exploration. CoRR abs/2405.00200 (2024) - [i283]Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo:
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. CoRR abs/2405.01535 (2024) - [i282]Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo:
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. CoRR abs/2406.05761 (2024) - [i281]Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You:
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures. CoRR abs/2406.06565 (2024) - [i280]Belinda Z. Li, Emmy Liu, Alexis Ross, Abbas Zeitoun, Graham Neubig, Jacob Andreas:
Language Modeling with Editable External Knowledge. CoRR abs/2406.11830 (2024) - [i279]Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Tiffany Ling, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan:
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation. CoRR abs/2406.13743 (2024) - [i278]Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried:
CodeRAG-Bench: Can Retrieval Augment Code Generation? CoRR abs/2406.14497 (2024) - [i277]Sean Welleck, Amanda Bertsch, Matthew Finlayson, Hailey Schoelkopf, Alex Xie, Graham Neubig, Ilia Kulikov, Zaïd Harchaoui:
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models. CoRR abs/2406.16838 (2024) - [i276]Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig:
Synthetic Multimodal Question Generation. CoRR abs/2407.02233 (2024) - [i275]Jiaxin Ge, Xueying Jia, Vijay Viswanathan, Hongyin Luo, Graham Neubig:
Training Task Experts through Retrieval Based Distillation. CoRR abs/2407.05463 (2024) - [i274]Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chien Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov:
VIMI: Grounding Video Generation through Multi-modal Instruction. CoRR abs/2407.06304 (2024) - [i273]Chenyang Zhao, Xueying Jia, Vijay Viswanathan, Tongshuang Wu, Graham Neubig:
SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. CoRR abs/2407.12874 (2024) - [i272]Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig:
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR abs/2407.16741 (2024) - [i271]Xi Xu, Siqi Ouyang, Brian Yan, Patrick Fernandes, William Chen, Lei Li, Graham Neubig, Shinji Watanabe:
CMU's IWSLT 2024 Simultaneous Speech Translation System. CoRR abs/2408.07452 (2024) - [i270]Xiang Yue, Tianyu Zheng, Yuansheng Ni, Yubo Wang, Kai Zhang, Shengbang Tong, Yuxuan Sun, Botao Yu, Ge Zhang, Huan Sun, Yu Su, Wenhu Chen, Graham Neubig:
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark. CoRR abs/2409.02813 (2024) - [i269]Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig:
Agent Workflow Memory. CoRR abs/2409.07429 (2024) - [i268]Tianyue Ou, Frank F. Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou:
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale. CoRR abs/2409.15637 (2024) - [i267]Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Pakazad, Graham Neubig:
Better Instruction-Following Through Minimum Bayes Risk. CoRR abs/2410.02902 (2024) - 2023
- [j49]Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Comput. Surv. 55(9): 195:1-195:35 (2023) - [j48]Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins:
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. Trans. Assoc. Comput. Linguistics 11: 1643-1668 (2023) - [j47]Luke Dramko, Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class. ACM Trans. Softw. Eng. Methodol. 32(2): 39:1-39:34 (2023) - [c379]Patrick Fernandes, Kayo Yin, Emmy Liu, André Martins, Graham Neubig:
When Does Translation Require Context? A Data-driven, Multilingual Exploration. ACL (1) 2023: 606-626 - [c378]Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Aremu Anuoluwapo, Perez Ogayo, Graham Neubig:
Multi-lingual and Multi-cultural Figurative Language Understanding. ACL (Findings) 2023: 8269-8284 - [c377]Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou:
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. ACL (Findings) 2023: 8487-8495 - [c376]Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig:
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. ACL (1) 2023: 10288-10303 - [c375]John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick:
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. ACL (1) 2023: 12044-12066 - [c374]Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Indra Winata, Bryan Wilie, Fajri Koto, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Muhammad Satrio Wicaksono, Ivan Halim Parmonangan, Ika Alfina, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Akbar Septiandri, James Jaya, Kaustubh D. Dhole, Arie Ardiyanti Suryani, Rifki Afina Putri, Dan Su, Keith Stevens, Made Nindyatama Nityasya, Muhammad Farid Adilazuarda, Ryan Hadiwijaya, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Damapuspita, Haryo Akbarianto Wibowo, Cuk Tho, Ichwanul Muslim Karo Karo, Tirana Fatyanosa, Ziwei Ji, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Pascale Fung, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti:
NusaCrowd: Open Source Initiative for Indonesian NLP Resources. ACL (Findings) 2023: 13745-13818 - [c373]Hao Zhu, Raghav Kapoor, So Yeon Min, Winson Han, Jiatai Li, Kaiwen Geng, Graham Neubig, Yonatan Bisk, Aniruddha Kembhavi, Luca Weihs:
EXCALIBUR: Encouraging and Evaluating Embodied Exploration. CVPR 2023: 14931-14942 - [c372]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. EACL (Findings) 2023: 265-273 - [c371]Brian Yan, Siddharth Dalmia, Yosuke Higuchi, Graham Neubig, Florian Metze, Alan W. Black, Shinji Watanabe:
CTC Alignments Improve Autoregressive Translation. EACL 2023: 1615-1631 - [c370]Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig:
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. EACL (Findings) 2023: 1680-1690 - [c369]Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig:
Prompt2Model: Generating Deployable Models from Natural Language Instructions. EMNLP (Demos) 2023: 413-421 - [c368]Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig:
Execution-Based Evaluation for Open-Domain Code Generation. EMNLP (Findings) 2023: 1271-1290 - [c367]Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri, Antonios Anastasopoulos, Graham Neubig:
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning. EMNLP (Findings) 2023: 3776-3793 - [c366]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. EMNLP 2023: 7969-7992 - [c365]Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig:
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. EMNLP 2023: 13921-13937 - [c364]Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig:
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. EMNLP 2023: 14157-14171 - [c363]Emmy Liu, Aditi Chaudhary, Graham Neubig:
Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting. EMNLP 2023: 15095-15111 - [c362]Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu:
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. EMNLP (Findings) 2023: 15185-15202 - [c361]Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
AANG : Automating Auxiliary Learning. ICLR 2023 - [c360]Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig:
Computational Language Acquisition with Theory of Mind. ICLR 2023 - [c359]Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer:
Mega: Moving Average Equipped Gated Attention. ICLR 2023 - [c358]Machel Reid, Vincent Josua Hellendoorn, Graham Neubig:
DiffusER: Diffusion via Edit-based Reconstruction. ICLR 2023 - [c357]Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig:
DocPrompting: Generating Code by Retrieving the Docs. ICLR 2023 - [c356]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. ICML 2023: 10764-10799 - [c355]Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
Cross-Modal Fine-Tuning: Align then Refine. ICML 2023: 31030-31056 - [c354]Frank F. Xu, Uri Alon, Graham Neubig:
Why do Nearest Neighbor Language Models Work? ICML 2023: 38325-38341 - [c353]Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley:
Unlimiformer: Long-Range Transformers with Unlimited Length Input. NeurIPS 2023 - [c352]Taiqi He, Lindia Tjuatja, Nathaniel R. Robinson, Shinji Watanabe, David R. Mortensen, Graham Neubig, Lori S. Levin:
SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing. SIGMORPHON 2023: 209-216 - [c351]Lindia Tjuatja, Emmy Liu, Lori S. Levin, Graham Neubig:
Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics Interface of LMs Through Agentivity. *SEM@ACL 2023: 149-164 - [c350]Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen, Graham Neubig:
ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages. WMT 2023: 392-418 - [c349]Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat:
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. WMT 2023: 1066-1083 - [i266]Frank F. Xu, Uri Alon, Graham Neubig:
Why do Nearest Neighbor Language Models Work? CoRR abs/2301.02828 (2023) - [i265]Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig:
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. CoRR abs/2302.05527 (2023) - [i264]Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
Cross-Modal Fine-Tuning: Align then Refine. CoRR abs/2302.05738 (2023) - [i263]Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. CoRR abs/2302.07867 (2023) - [i262]Shruti Rijhwani, Daisy Rosenblum, Michayla King, Antonios Anastasopoulos, Graham Neubig:
User-Centric Evaluation of OCR Systems for Kwak'wala. CoRR abs/2302.13410 (2023) - [i261]Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig:
Computational Language Acquisition with Theory of Mind. CoRR abs/2303.01502 (2023) - [i260]Ivan Stelmakh, John Wieting, Graham Neubig, Nihar B. Shah:
A Gold Standard Dataset for the Reviewer Assignment Problem. CoRR abs/2303.16750 (2023) - [i259]Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins:
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. CoRR abs/2305.00955 (2023) - [i258]Amanda Bertsch, Uri Alon, Graham Neubig, Matthew R. Gormley:
Unlimiformer: Long-Range Transformers with Unlimited Length Input. CoRR abs/2305.01625 (2023) - [i257]Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig:
Active Retrieval Augmented Generation. CoRR abs/2305.06983 (2023) - [i256]Masahiro Kaneko, Graham Neubig, Naoaki Okazaki:
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. CoRR abs/2305.11789 (2023) - [i255]Yueqi Song, Catherine Cui, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig:
GlobalBench: A Benchmark for Global Progress in Natural Language Processing. CoRR abs/2305.14716 (2023) - [i254]Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Aremu Anuoluwapo, Perez Ogayo, Graham Neubig:
Multi-lingual and Multi-cultural Figurative Language Understanding. CoRR abs/2305.16171 (2023) - [i253]Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig:
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. CoRR abs/2305.16636 (2023) - [i252]Lindia Tjuatja, Emmy Liu, Lori S. Levin, Graham Neubig:
Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics Interface of LMs Through Agentivity. CoRR abs/2305.18185 (2023) - [i251]Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou:
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. CoRR abs/2306.01200 (2023) - [i250]Manuel Mager, Rajat Bhatnagar, Graham Neubig, Ngoc Thang Vu, Katharina Kann:
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction. CoRR abs/2306.06804 (2023) - [i249]Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. CoRR abs/2307.00524 (2023) - [i248]I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig:
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. CoRR abs/2307.04507 (2023) - [i247]I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu:
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios. CoRR abs/2307.13528 (2023) - [i246]Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig:
WebArena: A Realistic Web Environment for Building Autonomous Agents. CoRR abs/2307.13854 (2023) - [i245]Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André F. T. Martins, Graham Neubig, Ankush Garg, Jonathan H. Clark, Markus Freitag, Orhan Firat:
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation. CoRR abs/2308.07286 (2023) - [i244]Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig:
Prompt2Model: Generating Deployable Models from Natural Language Instructions. CoRR abs/2308.12261 (2023) - [i243]Nathaniel R. Robinson, Perez Ogayo, David R. Mortensen, Graham Neubig:
ChatGPT MT: Competitive for High- (but not Low-) Resource Languages. CoRR abs/2309.07423 (2023) - [i242]Amanda Bertsch, Alex Xie, Graham Neubig, Matthew R. Gormley:
It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk. CoRR abs/2310.01387 (2023) - [i241]Emmy Liu, Aditi Chaudhary, Graham Neubig:
Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting. CoRR abs/2310.07081 (2023) - [i240]Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. CoRR abs/2310.11667 (2023) - [i239]Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri, Antonios Anastasopoulos, Graham Neubig:
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning. CoRR abs/2310.18417 (2023) - [i238]Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, Graham Neubig:
Do LLMs exhibit human-like response biases? A case study in survey design. CoRR abs/2311.04076 (2023) - [i237]Simran Khanuja, Srinivas Gowriraj, Lucio M. Dery, Graham Neubig:
DeMuX: Data-efficient Multilingual Learning. CoRR abs/2311.06379 (2023) - [i236]Zhiruo Wang, Jun Araki, Zhengbao Jiang, Md. Rizwan Parvez, Graham Neubig:
Learning to Filter Context for Retrieval-Augmented Generation. CoRR abs/2311.08377 (2023) - [i235]Yuchen Zhou, Emmy Liu, Graham Neubig, Leila Wehbe:
Divergences between Language Models and Human Brains. CoRR abs/2311.09308 (2023) - [i234]Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig:
Program-Aided Reasoners (better) Know What They Know. CoRR abs/2311.09553 (2023) - [i233]Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig:
Multitask Learning Can Improve Worst-Group Outcomes. CoRR abs/2312.03151 (2023) - [i232]Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu:
Alignment for Honesty. CoRR abs/2312.07000 (2023) - [i231]Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig:
An In-depth Look at Gemini's Language Abilities. CoRR abs/2312.11444 (2023) - 2022
- [j46]Katharina Kann, Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, John E. Ortega, Annette Rios, Angela Fan, Ximena Gutierrez-Vasques, Luis Chiruzzo, Gustavo Alberto Giménez Lugo, Ricardo Ramos, Iván Vladimir Meza Ruíz, Elisabeth Mager, Vishrav Chaudhary, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu:
AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas. Frontiers Artif. Intell. 5 (2022) - [j45]Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? J. Artif. Intell. Res. 75: 171-212 (2022) - [j44]Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? Trans. Assoc. Comput. Linguistics 10: 359-375 (2022) - [j43]Frank F. Xu, Bogdan Vasilescu, Graham Neubig:
In-IDE Code Generation from Natural Language: Promise and Challenges. ACM Trans. Softw. Eng. Methodol. 31(2): 29:1-29:47 (2022) - [c348]Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. AAAI 2022: 5277-5285 - [c347]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. ACL (demo) 2022: 182-195 - [c346]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation. ACL (1) 2022: 863-877 - [c345]Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig:
On The Ingredients of an Effective Zero-shot Semantic Parser. ACL (1) 2022: 1455-1474 - [c344]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. ACL (1) 2022: 1753-1766 - [c343]Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig:
Breaking Down Multilingual Machine Translation. ACL (Findings) 2022: 2766-2780 - [c342]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. ACL (1) 2022: 2890-2903 - [c341]Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig:
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. ACL (1) 2022: 2998-3012 - [c340]Damián E. Blasi, Antonios Anastasopoulos, Graham Neubig:
Systematic Inequalities in Language Technology Performance across the World's Languages. ACL (1) 2022: 5486-5505 - [c339]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Iván Vladimir Meza Ruíz, Gustavo Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. ACL (1) 2022: 6279-6299 - [c338]Hao Zhu, Yonatan Bisk, Graham Neubig:
Language Learning from Communicative Goals and Linguistic Input. CogSci 2022 - [c337]Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig:
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. COLING 2022: 1765-1775 - [c336]Kayo Yin, Graham Neubig:
Interpreting Language Models with Contrastive Explanations. EMNLP 2022: 184-198 - [c335]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. EMNLP (Demos) 2022: 338-350 - [c334]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. EMNLP (Demos) 2022: 379-388 - [c333]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. EMNLP 2022: 1384-1403 - [c332]Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig:
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. EMNLP 2022: 2336-2349 - [c331]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) 2022: 2613-2626 - [c330]Machel Reid, Graham Neubig:
Learning to Model Editing Processes. EMNLP (Findings) 2022: 3822-3832 - [c329]David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba O. Alabi, Shamsuddeen Hassan Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing K. Sibanda, Happy Buzaaba, Jonathan Mukiibi, Godson Kalipe, Derguene Mbaye, Amelia V. Taylor, Fatoumata Ouoba Kabore, Chris Chinenye Emezue, Aremu Anuoluwapo, Perez Ogayo, Catherine Gitau, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Allahsera Auguste Tapo, Tebogo Macucwa, Vukosi Marivate, Elvis Mboning, Tajuddeen Gwadabe, Tosin P. Adewumi, Orevaoghene Ahia, Joyce Nakatumba-Nabende, Neo L. Mokono, Ignatius Ezeani, Chiamaka Chukwuneke, Mofetoluwa Adeyemi, Gilles Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, Dietrich Klakow:
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. EMNLP 2022: 4488-4508 - [c328]Amanda Bertsch, Graham Neubig, Matthew R. Gormley:
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. EMNLP (Findings) 2022: 4823-4840 - [c327]Emmy Liu, Graham Neubig:
Are representations built from the ground up? An empirical examination of local composition in language models. EMNLP 2022: 9053-9073 - [c326]Yau-Shian Wang, Ashley Wu, Graham Neubig:
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings. EMNLP 2022: 9122-9133 - [c325]Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig:
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. ICLR 2022 - [c324]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR 2022 - [c323]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Distributionally Robust Models with Parametric Likelihood Ratios. ICLR 2022 - [c322]Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn:
Capturing Structural Locality in Non-parametric Language Models. ICLR 2022 - [c321]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML 2022: 468-485 - [c320]Melanie Sclar, Graham Neubig, Yonatan Bisk:
Symmetric Machine Theory of Mind. ICML 2022: 19450-19466 - [c319]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. ICSE 2022: 2327-2339 - [c318]Perez Ogayo, Graham Neubig, Alan W. Black:
Building African Voices. INTERSPEECH 2022: 1263-1267 - [c317]Brian Yan, Patrick Fernandes, Siddharth Dalmia, Jiatong Shi, Yifan Peng, Dan Berrebbi, Xinyi Wang, Graham Neubig, Shinji Watanabe:
CMU's IWSLT 2022 Dialect Speech Translation System. IWSLT@ACL 2022: 298-307 - [c316]Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen:
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. NAACL-HLT 2022: 932-942 - [c315]Patrick Fernandes, António Farinhas, Ricardo Rei, José Guilherme Camargo de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. NAACL-HLT 2022: 1396-1412 - [c314]Emmy Liu, Chenxuan Cui, Kenneth Zheng, Graham Neubig:
Testing the Ability of Language Models to Interpret Figurative Language. NAACL-HLT 2022: 4437-4452 - [c313]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. NeurIPS 2022 - [c312]Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn:
A systematic evaluation of large language models of code. MAPS@PLDI 2022: 1-10 - [c311]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. USENIX Security Symposium 2022: 4327-4343 - [i230]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR abs/2201.12431 (2022) - [i229]Kayo Yin, Graham Neubig:
Interpreting Language Models with Contrastive Explanations. CoRR abs/2202.10419 (2022) - [i228]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. CoRR abs/2202.12875 (2022) - [i227]Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn:
A Systematic Evaluation of Large Language Models of Code. CoRR abs/2202.13169 (2022) - [i226]Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig:
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. CoRR abs/2203.07264 (2022) - [i225]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. CoRR abs/2203.08388 (2022) - [i224]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation. CoRR abs/2203.09435 (2022) - [i223]Aditi Chaudhary, Zaid Sheikh, David R. Mortensen, Antonios Anastasopoulos, Graham Neubig:
AUTOLEX: An Automatic Framework for Linguistic Exploration. CoRR abs/2203.13901 (2022) - [i222]Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig:
BRIO: Bringing Order to Abstractive Summarization. CoRR abs/2203.16804 (2022) - [i221]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Distributionally Robust Models with Parametric Likelihood Ratios. CoRR abs/2204.06340 (2022) - [i220]Patrick Fernandes, Marcos V. Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig:
Learning to Scaffold: Optimizing Model Explanations for Teaching. CoRR abs/2204.10810 (2022) - [i219]Emmy Liu, Chen Cui, Kenneth Zheng, Graham Neubig:
Testing the Ability of Language Models to Interpret Figurative Language. CoRR abs/2204.12632 (2022) - [i218]Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. CoRR abs/2205.00049 (2022) - [i217]Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. CoRR abs/2205.00978 (2022) - [i216]Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig:
Table Retrieval May Not Necessitate Table-specific Model Design. CoRR abs/2205.09843 (2022) - [i215]Machel Reid, Graham Neubig:
Learning to Model Editing Processes. CoRR abs/2205.12374 (2022) - [i214]Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
AANG: Automating Auxiliary Learning. CoRR abs/2205.14082 (2022) - [i213]Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri, Antonios Anastasopoulos, Graham Neubig:
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning. CoRR abs/2206.05154 (2022) - [i212]Perez Ogayo, Graham Neubig, Alan W. Black:
Building African Voices. CoRR abs/2207.00688 (2022) - [i211]Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, Weizhu Chen:
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. CoRR abs/2207.03637 (2022) - [i210]Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig:
DocCoder: Generating Code by Retrieving and Reading Docs. CoRR abs/2207.05987 (2022) - [i209]Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. CoRR abs/2208.11024 (2022) - [i208]Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer:
Mega: Moving Average Equipped Gated Attention. CoRR abs/2209.10655 (2022) - [i207]Emmy Liu, Graham Neubig:
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models. CoRR abs/2210.03575 (2022) - [i206]Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig:
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. CoRR abs/2210.04234 (2022) - [i205]Brian Yan, Siddharth Dalmia, Yosuke Higuchi, Graham Neubig, Florian Metze, Alan W. Black, Shinji Watanabe:
CTC Alignments Improve Autoregressive Translation. CoRR abs/2210.05200 (2022) - [i204]Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig:
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. CoRR abs/2210.07111 (2022) - [i203]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. CoRR abs/2210.07128 (2022) - [i202]David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba O. Alabi, Shamsuddeen Hassan Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing K. Sibanda, Happy Buzaaba, Jonathan Mukiibi, Godson Kalipe, Derguene Mbaye, Amelia V. Taylor, Fatoumata Ouoba Kabore, Chris Chinenye Emezue, Aremu Anuoluwapo, Perez Ogayo, Catherine Gitau, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Allahsera Auguste Tapo, Tebogo Macucwa, Vukosi Marivate, Elvis Mboning, Tajuddeen Gwadabe, Tosin P. Adewumi, Orevaoghene Ahia, Joyce Nakatumba-Nabende, Neo L. Mokono, Ignatius Ezeani, Chiamaka Chukwuneke, Mofetoluwa Adeyemi, Gilles Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, Dietrich Klakow:
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. CoRR abs/2210.12391 (2022) - [i201]Amanda Bertsch, Graham Neubig, Matthew R. Gormley:
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. CoRR abs/2210.15462 (2022) - [i200]Machel Reid, Vincent J. Hellendoorn, Graham Neubig:
DiffusER: Discrete Diffusion via Edit-based Reconstruction. CoRR abs/2210.16886 (2022) - [i199]Yau-Shian Wang, Ashley Wu, Graham Neubig:
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings. CoRR abs/2211.06127 (2022) - [i198]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. CoRR abs/2211.10435 (2022) - [i197]Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig:
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. CoRR abs/2212.02027 (2022) - [i196]Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu:
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. CoRR abs/2212.05726 (2022) - [i195]Yiwei Qin, Graham Neubig, Pengfei Liu:
Searching for Effective Multilingual Fine-Tuning Methods: A Case Study in Summarization. CoRR abs/2212.05740 (2022) - [i194]Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Indra Winata, Bryan Wilie, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Fajri Koto, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Ivan Halim Parmonangan, Ika Alfina, Muhammad Satrio Wicaksono, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Akbar Septiandri, James Jaya, Kaustubh D. Dhole, Arie Ardiyanti Suryani, Rifki Afina Putri, Dan Su, Keith Stevens, Made Nindyatama Nityasya, Muhammad Farid Adilazuarda, Ryan Ignatius, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Damapuspita, Cuk Tho, Ichwanul Muslim Karo Karo, Tirana Noor Fatyanosa, Ziwei Ji, Pascale Fung, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti:
NusaCrowd: Open Source Initiative for Indonesian NLP Resources. CoRR abs/2212.09648 (2022) - [i193]Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig:
Execution-Based Evaluation for Open-Domain Code Generation. CoRR abs/2212.10481 (2022) - [i192]John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick:
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. CoRR abs/2212.10726 (2022) - 2021
- [j42]Aditi Chaudhary, Zaid Sheikh, Antonis Anastasopoulos, Graham Neubig:
Reducing Confusion in Active Learning for Part-Of-Speech Tagging. Trans. Assoc. Comput. Linguistics 9: 1-16 (2021) - [j41]Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig:
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization. Trans. Assoc. Comput. Linguistics 9: 211-225 (2021) - [j40]Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig:
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering. Trans. Assoc. Comput. Linguistics 9: 962-977 (2021) - [j39]David Ifeoluwa Adelani, Jade Z. Abbott, Graham Neubig, Daniel D'souza, Julia Kreutzer, Constantine Lignos, Chester Palen-Michel, Happy Buzaaba, Shruti Rijhwani, Sebastian Ruder, Stephen Mayhew, Israel Abebe Azime, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Joyce Nakatumba-Nabende, Perez Ogayo, Aremu Anuoluwapo, Catherine Gitau, Derguene Mbaye, Jesujoba O. Alabi, Seid Muhie Yimam, Tajuddeen Gwadabe, Ignatius Ezeani, Rubungo Andre Niyongabo, Jonathan Mukiibi, Verrah Otiende, Iroro Orife, Davis David, Samba Ngom, Tosin P. Adewumi, Paul Rayson, Mofetoluwa Adeyemi, Gerald Muriuki, Emmanuel Anebi, Chiamaka Chukwuneke, Nkiruka Odu, Eric Peter Wairagala, Samuel Oyerinde, Clemencia Siro, Tobius Saul Bateesa, Temilola Oloyede, Yvonne Wambui, Victor Akinode, Deborah Nabagereka, Maurice Katusiime, Ayodele Awokoya, Mouhamadane Mboup, Dibora Gebreyohannes, Henok Tilaye, Kelechi Nwaike, Degaga Wolde, Abdoulaye Faye, Blessing K. Sibanda, Orevaoghene Ahia, Bonaventure F. P. Dossou, Kelechi Ogueji, Thierno Ibrahima Diop, Abdoulaye Diallo, Adewale Akinfaderin, Tendai Marengereke, Salomey Osei:
MasakhaNER: Named Entity Recognition for African Languages. Trans. Assoc. Comput. Linguistics 9: 1116-1131 (2021) - [j38]Shruti Rijhwani, Daisy Rosenblum, Antonios Anastasopoulos, Graham Neubig:
Lexically Aware Semi-Supervised Learning for OCR Post-Correction. Trans. Assoc. Comput. Linguistics 9: 1285-1302 (2021) - [c310]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
ExplainaBoard: An Explainable Leaderboard for NLP. ACL (demo) 2021: 280-289 - [c309]Vijay Viswanathan, Graham Neubig, Pengfei Liu:
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. ACL/IJCNLP (1) 2021: 719-731 - [c308]Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig:
Do Context-Aware Translation Models Pay the Right Attention? ACL/IJCNLP (1) 2021: 788-801 - [c307]Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmán, Luke Zettlemoyer, Marjan Ghazvininejad:
Detecting Hallucinated Content in Conditional Neural Sequence Generation. ACL/IJCNLP (Findings) 2021: 1393-1404 - [c306]Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. ACL/IJCNLP (1) 2021: 6467-6478 - [c305]Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig:
Dependency Induction Through the Lens of Visual Perception. CoNLL 2021: 17-26 - [c304]Zi-Yi Dou, Graham Neubig:
Word Alignment by Fine-tuning Embeddings on Parallel Corpora. EACL 2021: 2112-2128 - [c303]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. EACL 2021: 3703-3714 - [c302]Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. EMNLP (Findings) 2021: 730-737 - [c301]Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. EMNLP (1) 2021: 1306-1320 - [c300]Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig:
Distributionally Robust Multilingual Machine Translation. EMNLP (1) 2021: 5664-5674 - [c299]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. EMNLP (1) 2021: 5703-5714 - [c298]Aditi Chaudhary, Kayo Yin, Antonios Anastasopoulos, Graham Neubig:
When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection. EMNLP (1) 2021: 6911-6929 - [c297]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. EMNLP (1) 2021: 7131-7150 - [c296]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. EMNLP (1) 2021: 10215-10245 - [c295]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Modeling the Second Player in Distributionally Robust Optimization. ICLR 2021 - [c294]Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-Translation. ICLR 2021 - [c293]Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig:
Learning Structural Edits via Incremental Tree Transformations. ICLR 2021 - [c292]Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig:
Examining and Combating Spurious Features under Distribution Shift. ICML 2021: 12857-12867 - [c291]Hao Zhu, Graham Neubig, Yonatan Bisk:
Few-shot Language Coordination by Modeling Theory of Mind. ICML 2021: 12901-12911 - [c290]Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties. Interspeech 2021: 271-275 - [c289]Amit Moryossef, Kayo Yin, Graham Neubig, Yoav Goldberg:
Data Augmentation for Sign Language Gloss Translation. AT4SSL@MTSummit 2021: 1-11 - [c288]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Multi-view Subword Regularization. NAACL-HLT 2021: 473-482 - [c287]Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. NAACL-HLT 2021: 499-511 - [c286]Poyao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alex Hauptmann:
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. NAACL-HLT 2021: 2443-2459 - [c285]Pengcheng Yin, Hao Fang, Graham Neubig, Adam Pauls, Emmanouil Antonios Platanios, Yu Su, Sam Thomson, Jacob Andreas:
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention. NAACL-HLT 2021: 2810-2823 - [c284]Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig:
Explicit Alignment Objectives for Multilingual Bidirectional Encoders. NAACL-HLT 2021: 3633-3643 - [c283]Yixin Liu, Graham Neubig, John Wieting:
On Learning Text Style Transfer with Direct Rewards. NAACL-HLT 2021: 4262-4273 - [c282]Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig:
GSum: A General Framework for Guided Neural Abstractive Summarization. NAACL-HLT 2021: 4830-4842 - [c281]Weizhe Yuan, Graham Neubig, Pengfei Liu:
BARTScore: Evaluating Generated Text as Text Generation. NeurIPS 2021: 27263-27277 - [c280]Junjie Hu, Graham Neubig:
Phrase-level Active Learning for Neural Machine Translation. WMT@EMNLP 2021: 1087-1099 - [i191]Zi-Yi Dou, Graham Neubig:
Word Alignment by Fine-tuning Embeddings on Parallel Corpora. CoRR abs/2101.08231 (2021) - [i190]Frank F. Xu, Bogdan Vasilescu, Graham Neubig:
In-IDE Code Generation from Natural Language: Promise and Challenges. CoRR abs/2101.11149 (2021) - [i189]Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig:
Learning Structural Edits via Incremental Tree Transformations. CoRR abs/2101.12087 (2021) - [i188]Weizhe Yuan, Pengfei Liu, Graham Neubig:
Can We Automate Scientific Reviewing? CoRR abs/2102.00176 (2021) - [i187]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. CoRR abs/2102.05486 (2021) - [i186]Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig:
Meta Back-translation. CoRR abs/2102.07847 (2021) - [i185]Xinyi Wang, Sebastian Ruder, Graham Neubig:
Multi-view Subword Regularization. CoRR abs/2103.08490 (2021) - [i184]Po-Yao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, Alexander G. Hauptmann:
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models. CoRR abs/2103.08849 (2021) - [i183]Paul Michel, Tatsunori Hashimoto, Graham Neubig:
Modeling the Second Player in Distributionally Robust Optimization. CoRR abs/2103.10282 (2021) - [i182]David Ifeoluwa Adelani, Jade Z. Abbott, Graham Neubig, Daniel D'souza, Julia Kreutzer, Constantine Lignos, Chester Palen-Michel, Happy Buzaaba, Shruti Rijhwani, Sebastian Ruder, Stephen Mayhew, Israel Abebe Azime, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Joyce Nakatumba-Nabende, Perez Ogayo, Aremu Anuoluwapo, Catherine Gitau, Derguene Mbaye, Jesujoba O. Alabi, Seid Muhie Yimam, Tajuddeen Gwadabe, Ignatius Ezeani, Rubungo Andre Niyongabo, Jonathan Mukiibi, Verrah Otiende, Iroro Orife, Davis David, Samba Ngom, Tosin P. Adewumi, Paul Rayson, Mofetoluwa Adeyemi, Gerald Muriuki, Emmanuel Anebi, Chiamaka Chukwuneke, Nkiruka Odu, Eric Peter Wairagala, Samuel Oyerinde, Clemencia Siro, Tobius Saul Bateesa, Temilola Oloyede, Yvonne Wambui, Victor Akinode, Deborah Nabagereka, Maurice Katusiime, Ayodele Awokoya, Mouhamadane Mboup, Dibora Gebreyohannes, Henok Tilaye, Kelechi Nwaike, Degaga Wolde, Abdoulaye Faye, Blessing K. Sibanda, Orevaoghene Ahia, Bonaventure F. P. Dossou, Kelechi Ogueji, Thierno Ibrahima Diop, Abdoulaye Diallo, Adewale Akinfaderin, Tendai Marengereke, Salomey Osei:
MasakhaNER: Named Entity Recognition for African Languages. AfricaNLP 2021 - [i181]Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov:
Evaluating the Morphosyntactic Well-formedness of Generated Texts. CoRR abs/2103.16590 (2021) - [i180]Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig:
Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties. AfricaNLP 2021 - [i179]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. CoRR abs/2104.06387 (2021) - [i178]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. CoRR abs/2104.07412 (2021) - [i177]Mengzhou Xia, Guoqing Zheng, Subhabrata Mukherjee, Milad Shokouhi, Graham Neubig, Ahmed Hassan Awadallah:
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning. CoRR abs/2104.07908 (2021) - [i176]Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Ivan Vladimir, Gustavo Alberto Giménez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann:
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. CoRR abs/2104.08726 (2021) - [i175]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. CoRR abs/2104.15114 (2021) - [i174]Patrick Fernandes, Kayo Yin, Graham Neubig, André F. T. Martins:
Measuring and Increasing Context Usage in Context-Aware Machine Translation. CoRR abs/2105.03482 (2021) - [i173]Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins, Graham Neubig:
Do Context-Aware Translation Models Pay the Right Attention? CoRR abs/2105.06977 (2021) - [i172]Amit Moryossef, Kayo Yin, Graham Neubig, Yoav Goldberg:
Data Augmentation for Sign Language Gloss Translation. CoRR abs/2105.07476 (2021) - [i171]Vijay Viswanathan, Graham Neubig, Pengfei Liu:
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. CoRR abs/2106.01560 (2021) - [i170]Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig:
Examining and Combating Spurious Features under Distribution Shift. CoRR abs/2106.07171 (2021) - [i169]Junjie Hu, Graham Neubig:
Phrase-level Active Learning for Neural Machine Translation. CoRR abs/2106.11375 (2021) - [i168]Weizhe Yuan, Graham Neubig, Pengfei Liu:
BARTScore: Evaluating Generated Text as Text Generation. CoRR abs/2106.11520 (2021) - [i167]Hao Zhu, Graham Neubig, Yonatan Bisk:
Few-shot Language Coordination by Modeling Theory of Mind. CoRR abs/2107.05697 (2021) - [i166]Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. CoRR abs/2107.13586 (2021) - [i165]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
Augmenting Decompiler Output with Learned Variable Names and Types. CoRR abs/2108.06363 (2021) - [i164]Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig:
Distributionally Robust Multilingual Machine Translation. CoRR abs/2109.04020 (2021) - [i163]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. CoRR abs/2109.04212 (2021) - [i162]Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo:
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. CoRR abs/2109.04715 (2021) - [i161]Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig:
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. CoRR abs/2109.04877 (2021) - [i160]Aditi Chaudhary, Kayo Yin, Antonios Anastasopoulos, Graham Neubig:
When is Wall a Pared and when a Muro? - Extracting Rules Governing Lexical Selection. CoRR abs/2109.06014 (2021) - [i159]Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig:
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. CoRR abs/2109.07437 (2021) - [i158]Kayo Yin, Patrick Fernandes, André F. T. Martins, Graham Neubig:
When Does Translation Require Context? A Data-driven, Multilingual Exploration. CoRR abs/2109.07446 (2021) - [i157]Shuyan Zhou, Pengcheng Yin, Graham Neubig:
Hierarchical Control of Situated Agents through Natural Language. CoRR abs/2109.08214 (2021) - [i156]Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig:
Dependency Induction Through the Lens of Visual Perception. CoRR abs/2109.09790 (2021) - [i155]Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward J. Schwartz, Graham Neubig:
Learning to Superoptimize Real-world Programs. CoRR abs/2109.13498 (2021) - [i154]Frank F. Xu, Junxian He, Graham Neubig, Vincent J. Hellendoorn:
Capturing Structural Locality in Non-parametric Language Models. CoRR abs/2110.02870 (2021) - [i153]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR abs/2110.04366 (2021) - [i152]Damián E. Blasi, Antonios Anastasopoulos, Graham Neubig:
Systematic Inequalities in Language Technology Performance across the World's Languages. CoRR abs/2110.06733 (2021) - [i151]Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig:
Breaking Down Multilingual Machine Translation. CoRR abs/2110.08130 (2021) - [i150]Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig:
On The Ingredients of an Effective Zero-shot Semantic Parser. CoRR abs/2110.08381 (2021) - [i149]Shruti Rijhwani, Daisy Rosenblum, Antonios Anastasopoulos, Graham Neubig:
Lexically Aware Semi-Supervised Learning for OCR Post-Correction. CoRR abs/2111.02622 (2021) - [i148]Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig:
DEEP: DEnoising Entity Pre-training for Neural Machine Translation. CoRR abs/2111.07393 (2021) - [i147]Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. CoRR abs/2112.02650 (2021) - [i146]Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. CoRR abs/2112.09669 (2021) - 2020
- [j37]Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. J. Artif. Intell. Res. 67: 653-672 (2020) - [j36]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
Improving neural machine translation through phrase-based soft forced decoding. Mach. Transl. 34(1): 21-39 (2020) - [j35]Elizabeth Salesky, Andrew Runge, Alex Coda, Jan Niehues, Graham Neubig:
Optimizing segmentation granularity for neural machine translation. Mach. Transl. 34(1): 41-59 (2020) - [j34]Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig:
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. Trans. Assoc. Comput. Linguistics 8: 109-124 (2020) - [j33]Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig:
How Can We Know What Language Models Know. Trans. Assoc. Comput. Linguistics 8: 423-438 (2020) - [j32]Hao Zhu, Yonatan Bisk, Graham Neubig:
The Return of Lexical Dependencies: Neural Lexicalized PCFGs. Trans. Assoc. Comput. Linguistics 8: 647-661 (2020) - [j31]Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura:
Multi-Source Neural Machine Translation With Missing Data. IEEE ACM Trans. Audio Speech Lang. Process. 28: 569-580 (2020) - [j30]Odette Scharenborg, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux, Laurent Besacier, Alan W. Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stüker, Pierre Godard, Markus Müller:
Speech Technology for Unwritten Languages. IEEE ACM Trans. Audio Speech Lang. Process. 28: 964-975 (2020) - [c279]Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig:
Latent Relation Language Models. AAAI 2020: 7911-7918 - [c278]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI 2020: 7969-7976 - [c277]Ansong Ni, Pengcheng Yin, Graham Neubig:
Merging Weak and Active Supervision for Semantic Parsing. AAAI 2020: 8536-8543 - [c276]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. ACL 2020: 1869-1881 - [c275]Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig:
Generalizing Natural Language Analysis through Span-relation Representations. ACL 2020: 2120-2133 - [c274]Keita Kurita, Paul Michel, Graham Neubig:
Weight Poisoning Attacks on Pretrained Models. ACL 2020: 2793-2806 - [c273]Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton:
Learning to Deceive with Attention-Based Explanations. ACL 2020: 4782-4793 - [c272]Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig:
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. ACL 2020: 6045-6052 - [c271]Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime G. Carbonell:
Soft Gazetteers for Low-Resource Named Entity Recognition. ACL 2020: 8118-8123 - [c270]Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel:
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. ACL 2020: 8413-8426 - [c269]Xinyi Wang, Yulia Tsvetkov, Graham Neubig:
Balancing Training for Multilingual Neural Machine Translation. ACL 2020: 8526-8537 - [c268]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. ACL 2020: 8625-8646 - [c267]Antonios Anastasopoulos, Graham Neubig:
Should All Cross-Lingual Embeddings Speak English? ACL 2020: 8658-8679 - [c266]Kenneth Heafield, Hiroaki Hayashi, Yusuke Oda, Ioannis Konstas, Andrew M. Finch, Graham Neubig, Xian Li, Alexandra Birch:
Findings of the Fourth Workshop on Neural Generation and Translation. NGT@ACL 2020: 1-9 - [c265]Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig:
Learning Relation Entailment with Structured and Textual Information. AKBC 2020 - [c264]Antonios Anastasopoulos, Christopher Cox, Graham Neubig, Hilaria Cruz:
Endangered Languages meet Modern NLP. COLING (Tutorial) 2020: 39-45 - [c263]Xingyuan Zhao, Satoru Ozaki, Antonios Anastasopoulos, Graham Neubig, Lori S. Levin:
Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations. COLING 2020: 5397-5408 - [c262]André Filipe Torres Martins, João Graça, Paulo Dimas, Helena Moniz, Graham Neubig:
Project MAIA: Multilingual AI Agent Assistant. EAMT 2020: 495-496 - [c261]Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur:
TICO-19: the Translation Initiative for COvid-19. NLP4COVID@EMNLP 2020 - [c260]Sai Muralidhar Jayanthi, Danish Pruthi, Graham Neubig:
NeuSpell: A Neural Spelling Correction Toolkit. EMNLP (Demos) 2020: 158-164 - [c259]John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. EMNLP (1) 2020: 1581-1594 - [c258]Luyu Gao, Xinyi Wang, Graham Neubig:
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation. EMNLP (Findings) 2020: 3560-3566 - [c257]Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton:
Weakly- and Semi-supervised Evidence Extraction. EMNLP (Findings) 2020: 3965-3970 - [c256]Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. EMNLP (1) 2020: 5212-5236 - [c255]Zi-Yi Dou, Antonios Anastasopoulos, Graham Neubig:
Dynamic Data Selection and Weighting for Iterative Back-Translation. EMNLP (1) 2020: 5894-5904 - [c254]Shruti Rijhwani, Antonios Anastasopoulos, Graham Neubig:
OCR Post Correction for Endangered Language Texts. EMNLP (1) 2020: 5931-5942 - [c253]Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig:
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. EMNLP (1) 2020: 5943-5959 - [c252]Jinlan Fu, Pengfei Liu, Graham Neubig:
Interpretable Multi-dataset Evaluation for Named Entity Recognition. EMNLP (1) 2020: 6058-6069 - [c251]Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig:
Re-evaluating Evaluation in Text Summarization. EMNLP (1) 2020: 9347-9359 - [c250]Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W. Black, Florian Metze:
Universal Phone Recognition with a Multilingual Allophone System. ICASSP 2020: 8249-8253 - [c249]Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. ICLR 2020 - [c248]Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick:
A Probabilistic Formulation of Unsupervised Text Style Transfer. ICLR 2020 - [c247]Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell:
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. ICLR 2020 - [c246]Chunting Zhou, Jiatao Gu, Graham Neubig:
Understanding Knowledge Distillation in Non-autoregressive Machine Translation. ICLR 2020 - [c245]Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson:
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation. ICML 2020: 4411-4421 - [c244]Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime G. Carbonell, Graham Neubig:
Optimizing Data Usage via Differentiable Rewards. ICML 2020: 9983-9995 - [c243]David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. Black, Florian Metze, Graham Neubig:
AlloVera: A Multilingual Allophone Database. LREC 2020: 5329-5336 - [c242]Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig:
Learning Sparse Prototypes for Text Generation. NeurIPS 2020 - [c241]Nikitha Murikinati, Antonios Anastasopoulos, Graham Neubig:
Transliteration for Cross-Lingual Morphological Inflection. SIGMORPHON 2020: 189-197 - [c240]Graham Neubig, Shruti Rijhwani, Alexis Palmer, Jordan MacKenzie, Hilaria Cruz, Xinjian Li, Matthew Lee, Aditi Chaudhary, Luke Gessler, Steven Abney, Shirley Anugrah Hayati, Antonios Anastasopoulos, Olga Zamaraeva, Emily Prud'hommeaux, Jennette Child, Sara Child, Rebecca Knowles, Sarah R. Moeller, Jeffrey Micher, Yiyuan Li, Sydney Zink, Mengzhou Xia, Roshan S. Sharma, Patrick Littell:
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization. SLTU-CCURL@LREC 2020: 342-351 - [c239]Lucia Specia, Zhenhao Li, Juan Miguel Pino, Vishrav Chaudhary, Francisco Guzmán, Graham Neubig, Nadir Durrani, Yonatan Belinkov, Philipp Koehn, Hassan Sajjad, Paul Michel, Xian Li:
Findings of the WMT 2020 Shared Task on Machine Translation Robustness. WMT@EMNLP 2020: 76-91 - [e8]Alexandra Birch, Andrew M. Finch, Hiroaki Hayashi, Kenneth Heafield, Marcin Junczys-Dowmunt, Ioannis Konstas, Xian Li, Graham Neubig, Yusuke Oda:
Proceedings of the Fourth Workshop on Neural Generation and Translation, NGT@ACL 2020, Online, July 5-10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-17-0 [contents] - [i145]Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick:
A Probabilistic Formulation of Unsupervised Text Style Transfer. CoRR abs/2002.03912 (2020) - [i144]Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen:
Differentiable Reasoning over a Virtual Knowledge Base. CoRR abs/2002.10640 (2020) - [i143]Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W. Black, Florian Metze:
Universal Phone Recognition with a Multilingual Allophone System. CoRR abs/2002.11800 (2020) - [i142]Shuyan Zhou, Shruti Rijhwani, John Wieting, Jaime G. Carbonell, Graham Neubig:
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking. CoRR abs/2003.01343 (2020) - [i141]Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson:
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization. CoRR abs/2003.11080 (2020) - [i140]Samuel Läubli, Sheila Castilho, Graham Neubig, Rico Sennrich, Qinlan Shen, Antonio Toral:
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation. CoRR abs/2004.01694 (2020) - [i139]Zi-Yi Dou, Antonios Anastasopoulos, Graham Neubig:
Dynamic Data Selection and Weighting for Iterative Back-Translation. CoRR abs/2004.03672 (2020) - [i138]Keita Kurita, Paul Michel, Graham Neubig:
Weight Poisoning Attacks on Pre-trained Models. CoRR abs/2004.06660 (2020) - [i137]Xinyi Wang, Yulia Tsvetkov, Graham Neubig:
Balancing Training for Multilingual Neural Machine Translation. CoRR abs/2004.06748 (2020) - [i136]David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. Black, Florian Metze, Graham Neubig:
AlloVera: A Multilingual Allophone Database. CoRR abs/2004.08031 (2020) - [i135]Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig:
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. CoRR abs/2004.09015 (2020) - [i134]Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig:
Practical Comparable Data Collection for Low-Resource Languages via Images. CoRR abs/2004.11954 (2020) - [i133]Graham Neubig, Shruti Rijhwani, Alexis Palmer, Jordan MacKenzie, Hilaria Cruz, Xinjian Li, Matthew Lee, Aditi Chaudhary, Luke Gessler, Steven Abney, Shirley Anugrah Hayati, Antonios Anastasopoulos, Olga Zamaraeva, Emily Prud'hommeaux, Jennette Child, Sara Child, Rebecca Knowles, Sarah R. Moeller, Jeffrey Micher, Yiyuan Li, Sydney Zink, Mengzhou Xia, Roshan S. Sharma, Patrick Littell:
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization. CoRR abs/2004.13203 (2020) - [i132]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. CoRR abs/2004.14257 (2020) - [i131]Frank F. Xu, Lei Ji, Botian Shi, Junyi Du, Graham Neubig, Yonatan Bisk, Nan Duan:
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos. CoRR abs/2005.00706 (2020) - [i130]Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig:
Predicting Performance for Natural Language Processing Tasks. CoRR abs/2005.00870 (2020) - [i129]Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime G. Carbonell:
Soft Gazetteers for Low-Resource Named Entity Recognition. CoRR abs/2005.01866 (2020) - [i128]Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel:
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. CoRR abs/2005.08314 (2020) - [i127]Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig:
Learning Sparse Prototypes for Text Generation. CoRR abs/2006.16336 (2020) - [i126]Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur:
TICO-19: the Translation Initiative for Covid-19. CoRR abs/2007.01788 (2020) - [i125]Hao Zhu, Yonatan Bisk, Graham Neubig:
The Return of Lexical Dependencies: Neural Lexicalized PCFGs. CoRR abs/2007.15135 (2020) - [i124]Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig:
Automatic Extraction of Rules Governing Morphological Agreement. CoRR abs/2010.01160 (2020) - [i123]Luyu Gao, Xinyi Wang, Graham Neubig:
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation. CoRR abs/2010.01667 (2020) - [i122]Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig:
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. CoRR abs/2010.06189 (2020) - [i121]Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig:
Re-evaluating Evaluation in Text Summarization. CoRR abs/2010.07100 (2020) - [i120]Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig:
Explicit Alignment Objectives for Multilingual Bidirectional Encoders. CoRR abs/2010.07972 (2020) - [i119]Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig:
GSum: A General Framework for Guided Neural Abstractive Summarization. CoRR abs/2010.08014 (2020) - [i118]Sai Muralidhar Jayanthi, Danish Pruthi, Graham Neubig:
NeuSpell: A Neural Spelling Correction Toolkit. CoRR abs/2010.11085 (2020) - [i117]Yixin Liu, Graham Neubig, John Wieting:
On Learning Text Style Transfer with Direct Rewards. CoRR abs/2010.12771 (2020) - [i116]Aditi Chaudhary, Antonios Anastasopoulos, Zaid Sheikh, Graham Neubig:
Reducing Confusion in Active Learning for Part-Of-Speech Tagging. CoRR abs/2011.00767 (2020) - [i115]Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton:
Weakly- and Semi-supervised Evidence Extraction. CoRR abs/2011.01459 (2020) - [i114]Shruti Rijhwani, Antonios Anastasopoulos, Graham Neubig:
OCR Post Correction for Endangered Language Texts. CoRR abs/2011.05402 (2020) - [i113]Jinlan Fu, Pengfei Liu, Graham Neubig:
Interpretable Multi-dataset Evaluation for Named Entity Recognition. CoRR abs/2011.06854 (2020) - [i112]Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig:
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization. CoRR abs/2011.07832 (2020) - [i111]Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton:
Decoding and Diversity in Machine Translation. CoRR abs/2011.13477 (2020) - [i110]Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen:
Evaluating Explanations: How much do explanations from the teacher aid students? CoRR abs/2012.00893 (2020) - [i109]Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig:
How Can We Know When Language Models Know? CoRR abs/2012.00955 (2020)
2010 – 2019
- 2019
- [j29]Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel:
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation. Trans. Assoc. Comput. Linguistics 7: 313-325 (2019) - [c238]Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell:
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking. AAAI 2019: 6924-6931 - [c237]Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig:
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces. ACL (1) 2019: 184-193 - [c236]Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel:
Self-Attentional Models for Lattice Inputs. ACL (1) 2019: 1185-1197 - [c235]Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell:
Domain Adaptation of Neural Machine Translation by Lexicon Induction. ACL (1) 2019: 2989-3001 - [c234]Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig:
Choosing Transfer Languages for Cross-Lingual Learning. ACL (1) 2019: 3125-3135 - [c233]Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig:
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. ACL (1) 2019: 3211-3223 - [c232]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. ACL (1) 2019: 4344-4355 - [c231]Pengcheng Yin, Graham Neubig:
Reranking for Neural Semantic Parsing. ACL (1) 2019: 4553-4559 - [c230]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. ACL (1) 2019: 4602-4608 - [c229]Zhengbao Jiang, Pengcheng Yin, Graham Neubig:
Improving Open Information Extraction via Iterative Rank-Aware Learning. ACL (1) 2019: 5295-5300 - [c228]Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig:
Generalized Data Augmentation for Low-Resource Translation. ACL (1) 2019: 5786-5796 - [c227]Xinyi Wang, Graham Neubig:
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation. ACL (1) 2019: 5823-5828 - [c226]Shuyan Zhou, Shruti Rijhwani, Graham Neubig:
Towards Zero-resource Cross-lingual Entity Linking. DeepLo@EMNLP-IJCNLP 2019: 243-252 - [c225]Austin Matthews, Graham Neubig, Chris Dyer:
Comparing Top-Down and Bottom-Up Neural Generative Dependency Models. CoNLL 2019: 227-237 - [c224]Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh:
Findings of the Third Workshop on Neural Generation and Translation. NGT@EMNLP-IJCNLP 2019: 1-14 - [c223]Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig:
Domain Differential Adaptation for Neural Machine Translation. NGT@EMNLP-IJCNLP 2019: 59-69 - [c222]Antonios Anastasopoulos, Graham Neubig:
Pushing the Limits of Low-Resource Morphological Inflection. EMNLP/IJCNLP (1) 2019: 984-996 - [c221]Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig:
Handling Syntactic Divergence in Low-resource Machine Translation. EMNLP/IJCNLP (1) 2019: 1388-1394 - [c220]Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig:
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. EMNLP/IJCNLP (1) 2019: 1417-1422 - [c219]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. EMNLP/IJCNLP (1) 2019: 3601-3612 - [c218]Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy:
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. EMNLP/IJCNLP (1) 2019: 4281-4291 - [c217]Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell:
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers. EMNLP/IJCNLP (1) 2019: 5163-5173 - [c216]Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick:
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. ICLR (Poster) 2019 - [c215]Xinyi Wang, Hieu Pham, Philip Arthur, Graham Neubig:
Multilingual Neural Machine Translation With Soft Decoupled Encoding. ICLR (Poster) 2019 - [c214]Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt:
Learning to Represent Edits. ICLR (Poster) 2019 - [c213]Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. INTERSPEECH 2019: 789-793 - [c212]Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
DIRE: A Neural Approach to Decompiled Identifier Naming. ASE 2019: 628-639 - [c211]Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang:
compare-mt: A Tool for Holistic Comparison of Language Generation Systems. NAACL-HLT (Demonstrations) 2019: 35-41 - [c210]Nikolai Vogler, Craig Stewart, Graham Neubig:
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation. NAACL-HLT (1) 2019: 109-118 - [c209]Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell:
Competence-based Curriculum Learning for Neural Machine Translation. NAACL-HLT (1) 2019: 1162-1172 - [c208]Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig:
Density Matching for Bilingual Word Embedding. NAACL-HLT (1) 2019: 1588-1598 - [c207]Vaibhav, Sumeet Singh, Craig Stewart, Graham Neubig:
Improving Robustness of Machine Translation with Synthetic Noise. NAACL-HLT (1) 2019: 1916-1920 - [c206]Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino:
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. NAACL-HLT (1) 2019: 3103-3114 - [c205]Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Shoetsu Sato, Masashi Toyoda, Masaru Kitsuregawa:
Learning to Describe Unknown Phrases with Local and Global Contexts. NAACL-HLT (1) 2019: 3467-3476 - [c204]Paul Michel, Omer Levy, Graham Neubig:
Are Sixteen Heads Really Better than One? NeurIPS 2019: 14014-14024 - [c203]Bhargavi Paranjape, Graham Neubig:
Contextualized Representations for Low-resource Utterance Tagging. SIGdial 2019: 68-74 - [c202]Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad:
Findings of the First Shared Task on Machine Translation Robustness. WMT (2) 2019: 91-102 - [c201]Shuyan Zhou, Xiangkai Zeng, Yingqi Zhou, Antonios Anastasopoulos, Graham Neubig:
Improving Robustness of Neural Machine Translation with Multi-task Learning. WMT (2) 2019: 565-571 - [e7]Alexandra Birch, Andrew M. Finch, Hiroaki Hayashi, Ioannis Konstas, Thang Luong, Graham Neubig, Yusuke Oda, Katsuhito Sudoh:
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, Hong Kong, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-83-3 [contents] - [i108]Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick:
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. CoRR abs/1901.05534 (2019) - [i107]Xiang Kong, Bohan Li, Graham Neubig, Eduard H. Hovy, Yiming Yang:
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation. CoRR abs/1901.07129 (2019) - [i106]Xinyi Wang, Hieu Pham, Philip Arthur, Graham Neubig:
Multilingual Neural Machine Translation With Soft Decoupled Encoding. CoRR abs/1902.03499 (2019) - [i105]Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori S. Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard H. Hovy, Alan W. Black, Jaime G. Carbonell, Graham Horwood, Shabnam Tafreshi, Mona T. Diab, Efsun Sarioglu Kayi, Noura Farra, Kathleen R. McKeown:
The ARIEL-CMU Systems for LoReHLT18. CoRR abs/1902.08899 (2019) - [i104]Vaibhav, Sumeet Singh, Craig Stewart, Graham Neubig:
Improving Robustness of Machine Translation with Synthetic Noise. CoRR abs/1902.09508 (2019) - [i103]Paul Michel, Xian Li, Graham Neubig, Juan Miguel Pino:
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models. CoRR abs/1903.06620 (2019) - [i102]Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang:
compare-mt: A Tool for Holistic Comparison of Language Generation Systems. CoRR abs/1903.07926 (2019) - [i101]Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell:
Competence-based Curriculum Learning for Neural Machine Translation. CoRR abs/1903.09848 (2019) - [i100]Nikolai Vogler, Craig Stewart, Graham Neubig:
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation. CoRR abs/1904.00930 (2019) - [i99]Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig:
Density Matching for Bilingual Word Embedding. CoRR abs/1904.02343 (2019) - [i98]Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel:
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation. CoRR abs/1904.07209 (2019) - [i97]Xinyi Wang, Graham Neubig:
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation. CoRR abs/1905.08212 (2019) - [i96]Paul Michel, Omer Levy, Graham Neubig:
Are Sixteen Heads Really Better than One? CoRR abs/1905.10650 (2019) - [i95]Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig:
Choosing Transfer Languages for Cross-Lingual Learning. CoRR abs/1905.12688 (2019) - [i94]Zhengbao Jiang, Pengcheng Yin, Graham Neubig:
Improving Open Information Extraction via Iterative Rank-Aware Learning. CoRR abs/1905.13413 (2019) - [i93]Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell:
Domain Adaptation of Neural Machine Translation by Lexicon Induction. CoRR abs/1906.00376 (2019) - [i92]Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel:
Self-Attentional Models for Lattice Inputs. CoRR abs/1906.01617 (2019) - [i91]Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig:
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. CoRR abs/1906.02656 (2019) - [i90]Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig:
Generalized Data Augmentation for Low-Resource Translation. CoRR abs/1906.03785 (2019) - [i89]Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad:
Findings of the First Shared Task on Machine Translation Robustness. CoRR abs/1906.11943 (2019) - [i88]Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber:
Mitigating Noisy Inputs for Question Answering. CoRR abs/1908.02914 (2019) - [i87]Antonios Anastasopoulos, Graham Neubig:
Pushing the Limits of Low-Resource Morphological Inflection. CoRR abs/1908.05838 (2019) - [i86]Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig:
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces. CoRR abs/1908.06625 (2019) - [i85]Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig:
Latent Relation Language Models. CoRR abs/1908.07690 (2019) - [i84]Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell:
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers. CoRR abs/1908.08983 (2019) - [i83]Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig:
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. CoRR abs/1908.10430 (2019) - [i82]Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig:
Handling Syntactic Divergence in Low-resource Machine Translation. CoRR abs/1909.00040 (2019) - [i81]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. CoRR abs/1909.00868 (2019) - [i80]Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy:
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. CoRR abs/1909.02480 (2019) - [i79]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. CoRR abs/1909.05316 (2019) - [i78]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. CoRR abs/1909.06694 (2019) - [i77]Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton:
Learning to Deceive with Attention-Based Explanations. CoRR abs/1909.07913 (2019) - [i76]Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltiadis Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu:
DIRE: A Neural Approach to Decompiled Identifier Naming. CoRR abs/1909.09029 (2019) - [i75]Shuyan Zhou, Shruti Rijhwani, Graham Neubig:
Towards Zero-resource Cross-lingual Entity Linking. CoRR abs/1909.13180 (2019) - [i74]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. CoRR abs/1909.13872 (2019) - [i73]Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig:
Domain Differential Adaptation for Neural Machine Translation. CoRR abs/1910.02555 (2019) - [i72]Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell:
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. CoRR abs/1910.04708 (2019) - [i71]Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh:
Findings of the Third Workshop on Neural Generation and Translation. CoRR abs/1910.13299 (2019) - [i70]Chunting Zhou, Graham Neubig, Jiatao Gu:
Understanding Knowledge Distillation in Non-autoregressive Machine Translation. CoRR abs/1911.02727 (2019) - [i69]Antonios Anastasopoulos, Graham Neubig:
Should All Cross-Lingual Embeddings Speak English? CoRR abs/1911.03058 (2019) - [i68]Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig:
Generalizing Natural Language Analysis through Span-relation Representations. CoRR abs/1911.03822 (2019) - [i67]John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. CoRR abs/1911.03895 (2019) - [i66]Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Graham Neubig, Jaime G. Carbonell:
Optimizing Data Usage via Differentiable Rewards. CoRR abs/1911.10088 (2019) - [i65]Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig:
How Can We Know What Language Models Know? CoRR abs/1911.12543 (2019) - [i64]Ansong Ni, Pengcheng Yin, Graham Neubig:
Merging Weak and Active Supervision for Semantic Parsing. CoRR abs/1911.12986 (2019) - 2018
- [j28]Takatomo Kano, Shinnosuke Takamichi, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
An end-to-end model for cross-lingual transformation of paralinguistic information. Mach. Transl. 32(4): 353-368 (2018) - [j27]Jacob Buckman, Graham Neubig:
Neural Lattice Language Models. Trans. Assoc. Comput. Linguistics 6: 529-541 (2018) - [c200]Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. AAAI 2018: 3045-3052 - [c199]Paul Michel, Graham Neubig:
Extreme Adaptation for Personalized Neural Machine Translation. ACL (2) 2018: 312-318 - [c198]Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig:
Automatic Estimation of Simultaneous Interpreter Performance. ACL (2) 2018: 662-666 - [c197]Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig:
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. ACL (1) 2018: 754-765 - [c196]Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy:
Stack-Pointer Networks for Dependency Parsing. ACL (1) 2018: 1403-1414 - [c195]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick:
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. ACL (1) 2018: 1661-1671 - [c194]Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig:
Neural Factor Graph Models for Cross-lingual Morphological Tagging. ACL (1) 2018: 2653-2663 - [c193]Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda:
Findings of the Second Workshop on Neural Machine Translation and Generation. NMT@ACL 2018: 1-10 - [c192]Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura:
Multi-Source Neural Machine Translation with Missing Data. NMT@ACL 2018: 92-99 - [c191]Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang:
XNMT: The eXtensible Neural Machine Translation Toolkit. AMTA (1) 2018: 185-192 - [c190]Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig:
Stress Test Evaluation for Natural Language Inference. COLING 2018: 2340-2353 - [c189]Pengcheng Yin, Graham Neubig:
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. EMNLP (Demonstration) 2018: 7-12 - [c188]Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-lingual Named Entity Recognition with Minimal Resources. EMNLP 2018: 369-379 - [c187]Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. EMNLP 2018: 425-435 - [c186]Paul Michel, Graham Neubig:
MTNT: A Testbed for Machine Translation of Noisy Text. EMNLP 2018: 543-553 - [c185]Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig:
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. EMNLP 2018: 856-861 - [c184]Graham Neubig, Junjie Hu:
Rapid Adaptation of Neural Machine Translation to New Languages. EMNLP 2018: 875-880 - [c183]Shirley Anugrah Hayati, Raphaël Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig:
Retrieval-Based Neural Code Generation. EMNLP 2018: 925-930 - [c182]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. EMNLP 2018: 1292-1302 - [c181]Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell:
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. EMNLP 2018: 3285-3295 - [c180]Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig:
A Tree-based Decoder for Neural Machine Translation. EMNLP 2018: 4772-4777 - [c179]Odette Scharenborg, Laurent Besacier, Alan W. Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stüker, Pierre Godard, Markus Müller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux:
Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop. ICASSP 2018: 4979-4983 - [c178]Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig:
Learning to mine parallel natural language/source code corpora from stack overflow. ICSE (Companion Volume) 2018: 388-389 - [c177]Matthias Sperber, Jan Niehues, Graham Neubig, Sebastian Stüker, Alex Waibel:
Self-Attentional Acoustic Models. INTERSPEECH 2018: 3723-3727 - [c176]Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura:
Multi-Source Neural Machine Translation with Data Augmentation. IWSLT 2018: 48-53 - [c175]Oliver Adams, Trevor Cohn, Graham Neubig, Hilaria Cruz, Steven Bird, Alexis Michaud:
Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation. LREC 2018 - [c174]Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig:
Learning to mine aligned code and natural language pairs from stack overflow. MSR 2018: 476-486 - [c173]Graham Neubig, Miltiadis Allamanis:
Modelling Natural Language, Programs, and their Intersection. NAACL-HLT (Tutorial Abstracts) 2018: 1-3 - [c172]Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé, Graham Neubig:
Attentive Interaction Model: Modeling Changes in View in Argumentation. NAACL-HLT 2018: 103-116 - [c171]Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, Graham Neubig:
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? NAACL-HLT (2) 2018: 529-535 - [c170]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
Guiding Neural Machine Translation with Retrieved Translation Pieces. NAACL-HLT 2018: 1325-1335 - [c169]Frederick Liu, Han Lu, Graham Neubig:
Handling Homographs in Neural Machine Translation. NAACL-HLT 2018: 1336-1345 - [c168]Austin Matthews, Graham Neubig, Chris Dyer:
Using Morphological Knowledge in Open-Vocabulary Neural Language Models. NAACL-HLT 2018: 1435-1445 - [c167]Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing:
Cavs: An Efficient Runtime System for Dynamic Neural Networks. USENIX ATC 2018: 937-950 - [c166]Devendra Singh Sachan, Graham Neubig:
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. WMT 2018: 261-271 - [c165]Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig:
Contextual Encoding for Translation Quality Estimation. WMT (shared task) 2018: 788-793 - [e6]Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda:
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, NMT@ACL 2018, Melbourne, Australia, July 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-40-7 [contents] - [e5]Colin Cherry, Graham Neubig:
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, AMTA 2018, Boston, MA, USA, March 17-21, 2018 - Volume 1: Research Papers. Association for Machine Translation in the Americas 2018 [contents] - [i63]Odette Scharenborg, Laurent Besacier, Alan W. Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stüker, Pierre Godard, Markus Müller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux:
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop. CoRR abs/1802.05092 (2018) - [i62]Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang:
XNMT: The eXtensible Neural Machine Translation Toolkit. CoRR abs/1803.00188 (2018) - [i61]Jacob Buckman, Graham Neubig:
Neural Lattice Language Models. CoRR abs/1803.05071 (2018) - [i60]Matthias Sperber, Jan Niehues, Graham Neubig, Sebastian Stüker, Alex Waibel:
Self-Attentional Acoustic Models. CoRR abs/1803.09519 (2018) - [i59]Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé, Graham Neubig:
Attentive Interaction Model: Modeling Changes in View in Argumentation. CoRR abs/1804.00065 (2018) - [i58]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
Guiding Neural Machine Translation with Retrieved Translation Pieces. CoRR abs/1804.02559 (2018) - [i57]Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Janani Padmanabhan, Graham Neubig:
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? CoRR abs/1804.06323 (2018) - [i56]Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy:
Stack-Pointer Networks for Dependency Parsing. CoRR abs/1805.01087 (2018) - [i55]Paul Michel, Graham Neubig:
Extreme Adaptation for Personalized Neural Machine Translation. CoRR abs/1805.01817 (2018) - [i54]Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig:
Automatic Estimation of Simultaneous Interpreter Performance. CoRR abs/1805.04016 (2018) - [i53]Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig:
Neural Factor Graph Models for Cross-lingual Morphological Tagging. CoRR abs/1805.04570 (2018) - [i52]Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig:
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow. CoRR abs/1805.08949 (2018) - [i51]Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Rosé, Graham Neubig:
Stress Test Evaluation for Natural Language Inference. CoRR abs/1806.00692 (2018) - [i50]Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura:
Multi-Source Neural Machine Translation with Missing Data. CoRR abs/1806.02525 (2018) - [i49]Alexandra Birch, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Yusuke Oda:
Findings of the Second Workshop on Neural Machine Translation and Generation. CoRR abs/1806.02940 (2018) - [i48]Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig:
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. CoRR abs/1806.07832 (2018) - [i47]Graham Neubig, Junjie Hu:
Rapid Adaptation of Neural Machine Translation to New Languages. CoRR abs/1808.04189 (2018) - [i46]Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig:
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. CoRR abs/1808.07512 (2018) - [i45]Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. CoRR abs/1808.08493 (2018) - [i44]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. CoRR abs/1808.09111 (2018) - [i43]Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig:
A Tree-based Decoder for Neural Machine Translation. CoRR abs/1808.09374 (2018) - [i42]Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell:
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. CoRR abs/1808.09500 (2018) - [i41]Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-Lingual Named Entity Recognition with Minimal Resources. CoRR abs/1808.09861 (2018) - [i40]Shirley Anugrah Hayati, Raphaël Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig:
Retrieval-Based Neural Code Generation. CoRR abs/1808.10025 (2018) - [i39]Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig:
Contextual Encoding for Translation Quality Estimation. CoRR abs/1809.00129 (2018) - [i38]Devendra Singh Sachan, Graham Neubig:
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. CoRR abs/1809.00252 (2018) - [i37]Paul Michel, Graham Neubig:
MTNT: A Testbed for Machine Translation of Noisy Text. CoRR abs/1809.00388 (2018) - [i36]Pengcheng Yin, Graham Neubig:
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. CoRR abs/1810.02720 (2018) - [i35]Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura:
Multi-Source Neural Machine Translation with Data Augmentation. CoRR abs/1810.06826 (2018) - [i34]Elizabeth Salesky, Andrew Runge, Alex Coda, Jan Niehues, Graham Neubig:
Optimizing Segmentation Granularity for Neural Machine Translation. CoRR abs/1810.08641 (2018) - [i33]Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt:
Learning to Represent Edits. CoRR abs/1810.13337 (2018) - [i32]Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Masashi Toyoda, Masaru Kitsuregawa:
Learning to Describe Phrases with Local and Global Contexts. CoRR abs/1811.00266 (2018) - [i31]Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell:
Zero-shot Neural Transfer for Cross-lingual Entity Linking. CoRR abs/1811.04154 (2018) - [i30]Graham Neubig, Patrick Littell, Chian-Yu Chen, Jean Lee, Zirui Li, Yu-Hsiang Lin, Yuyan Zhang:
Towards a General-Purpose Linguistic Annotation Backend. CoRR abs/1812.05272 (2018) - [i29]Hideaki Hata, Emad Shihab, Graham Neubig:
Learning to Generate Corrective Patches using Neural Machine Translation. CoRR abs/1812.07170 (2018) - 2017
- [j26]Matthias Sperber, Graham Neubig, Jan Niehues, Satoshi Nakamura, Alex Waibel:
Transcribing against time. Speech Commun. 93: 20-30 (2017) - [j25]Quoc Truong Do, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Preserving Word-Level Emphasis in Speech-to-Speech Translation. IEEE ACM Trans. Audio Speech Lang. Process. 25(3): 544-556 (2017) - [c164]Chunting Zhou, Graham Neubig:
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction. ACL (1) 2017: 310-320 - [c163]Pengcheng Yin, Graham Neubig:
A Syntactic Neural Model for General-Purpose Code Generation. ACL (1) 2017: 440-450 - [c162]Yusuke Oda, Philip Arthur, Graham Neubig, Koichiro Yoshino, Satoshi Nakamura:
Neural Machine Translation via Binary Code Prediction. ACL (1) 2017: 850-860 - [c161]Frederick Liu, Han Lu, Chieh Lo, Graham Neubig:
Learning Character-level Compositionality with Visual Features. ACL (1) 2017: 2059-2068 - [c160]Oliver Adams, Trevor Cohn, Graham Neubig, Alexis Michaud:
Phonemic Transcription of Low-Resource Tonal Languages. ALTA 2017: 53-60 - [c159]Michael J. Denkowski, Graham Neubig:
Stronger Baselines for Trustable Results in Neural Machine Translation. NMT@ACL 2017: 18-27 - [c158]Makoto Morishita, Yusuke Oda, Graham Neubig, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura:
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation. NMT@ACL 2017: 61-68 - [c157]Toshiaki Nakazawa, Shohei Higashiyama, Chenchen Ding, Hideya Mino, Isao Goto, Hideto Kazawa, Yusuke Oda, Graham Neubig, Sadao Kurohashi:
Overview of the 4th Workshop on Asian Translation. WAT@IJCNLP 2017: 1-54 - [c156]Kazutaka Kubo, Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An investigation of how to design control parameters for statistical voice timbre control. APSIPA 2017: 1520-1523 - [c155]Chunting Zhou, Graham Neubig:
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders. CoNLL Shared Task (1) 2017: 58-65 - [c154]Oliver Adams, Adam J. Makarucha, Graham Neubig, Steven Bird, Trevor Cohn:
Cross-Lingual Word Embeddings for Low-Resource Language Modeling. EACL (1) 2017: 937-947 - [c153]Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li:
Learning to Translate in Real-time with Neural Machine Translation. EACL (1) 2017: 1053-1062 - [c152]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL (1) 2017: 1249-1258 - [c151]Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel:
Neural Lattice-to-Sequence Models for Uncertain Inputs. EMNLP 2017: 1380-1389 - [c150]Chaitanya Malaviya, Graham Neubig, Patrick Littell:
Learning Language Representations for Typology Prediction. EMNLP 2017: 2529-2535 - [c149]Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg:
Charmanteau: Character Embedding Models For Portmanteau Creation. EMNLP 2017: 2917-2922 - [c148]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
Improving Neural Machine Translation through Phrase-based Forced Decoding. IJCNLP(1) 2017: 152-162 - [c147]Takahiro Shinozaki, Shinji Watanabe, Daichi Mochihashi, Graham Neubig:
Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text. INTERSPEECH 2017: 2546-2550 - [c146]Ryo Nagata, Hiroya Takamura, Graham Neubig:
Adaptive Spelling Error Correction Models for Learner English. KES 2017: 474-483 - [c145]Qizhe Xie, Zihang Dai, Yulun Du, Eduard H. Hovy, Graham Neubig:
Controllable Invariance through Adversarial Feature Learning. NIPS 2017: 585-596 - [c144]Graham Neubig, Yoav Goldberg, Chris Dyer:
On-the-fly Operation Batching in Dynamic Computation Graphs. NIPS 2017: 3971-3981 - [c143]Abhilasha Ravichander, Thomas Manzini, Matthias Grabmair, Graham Neubig, Jonathan Francis, Eric Nyberg:
How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing. SIGDIAL Conference 2017: 374-383 - [c142]Akiva Miura, Graham Neubig, Katsuhito Sudoh, Satoshi Nakamura:
Tree as a Pivot: Syntactic Matching Methods in Pivot Translation. WMT 2017: 90-98 - [c141]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
NICT-NAIST System for WMT17 Multimodal Translation Task. WMT 2017: 477-482 - [e4]Thang Luong, Alexandra Birch, Graham Neubig, Andrew M. Finch:
Proceedings of the First Workshop on Neural Machine Translation, NMT@ACL 2017, Vancouver, Canada, August 4, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-68-5 [contents] - [i28]Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin:
DyNet: The Dynamic Neural Network Toolkit. CoRR abs/1701.03980 (2017) - [i27]Graham Neubig:
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial. CoRR abs/1703.01619 (2017) - [i26]Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel:
Neural Lattice-to-Sequence Models for Uncertain Inputs. CoRR abs/1704.00559 (2017) - [i25]Chunting Zhou, Graham Neubig:
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction. CoRR abs/1704.01691 (2017) - [i24]Pengcheng Yin, Graham Neubig:
A Syntactic Neural Model for General-Purpose Code Generation. CoRR abs/1704.01696 (2017) - [i23]Frederick Liu, Han Lu, Chieh Lo, Graham Neubig:
Learning Character-level Compositionality with Visual Features. CoRR abs/1704.04859 (2017) - [i22]Yusuke Oda, Philip Arthur, Graham Neubig, Koichiro Yoshino, Satoshi Nakamura:
Neural Machine Translation via Binary Code Prediction. CoRR abs/1704.06918 (2017) - [i21]Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard H. Hovy:
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML. CoRR abs/1705.07136 (2017) - [i20]Graham Neubig, Yoav Goldberg, Chris Dyer:
On-the-fly Operation Batching in Dynamic Computation Graphs. CoRR abs/1705.07860 (2017) - [i19]Qizhe Xie, Zihang Dai, Yulun Du, Eduard H. Hovy, Graham Neubig:
Controllable Invariance through Adversarial Feature Learning. CoRR abs/1705.11122 (2017) - [i18]Makoto Morishita, Yusuke Oda, Graham Neubig, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura:
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation. CoRR abs/1706.05765 (2017) - [i17]Michael J. Denkowski, Graham Neubig:
Stronger Baselines for Trustable Results in Neural Machine Translation. CoRR abs/1706.09733 (2017) - [i16]Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg:
CharManteau: Character Embedding Models For Portmanteau Creation. CoRR abs/1707.01176 (2017) - [i15]Chaitanya Malaviya, Graham Neubig, Patrick Littell:
Learning Language Representations for Typology Prediction. CoRR abs/1707.09569 (2017) - [i14]Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models. CoRR abs/1708.00111 (2017) - [i13]Frederick Liu, Han Lu, Graham Neubig:
Handling Homographs in Neural Machine Translation. CoRR abs/1708.06510 (2017) - [i12]Matthias Sperber, Graham Neubig, Jan Niehues, Satoshi Nakamura, Alex Waibel:
Transcribing Against Time. CoRR abs/1709.05227 (2017) - [i11]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
Improving Neural Machine Translation through Phrase-based Forced Decoding. CoRR abs/1711.00309 (2017) - [i10]Christy Y. Li, Dimitris Konomis, Graham Neubig, Pengtao Xie, Carol Cheng, Eric P. Xing:
Convolutional Neural Networks for Medical Diagnosis from Admission Notes. CoRR abs/1712.02768 (2017) - [i9]Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing:
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks. CoRR abs/1712.04048 (2017) - 2016
- [j24]Graham Neubig, Taro Watanabe:
Optimization for Statistical Machine Translation: A Survey. Comput. Linguistics 42(1): 1-54 (2016) - [j23]Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
Enhancing Event-Related Potentials Based on Maximum a Posteriori Estimation with a Spatial Correlation Prior. IEICE Trans. Inf. Syst. 99-D(6): 1437-1446 (2016) - [j22]Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A Statistical Sample-Based Approach to GMM-Based Voice Conversion Using Tied-Covariance Acoustic Models. IEICE Trans. Inf. Syst. 99-D(10): 2490-2498 (2016) - [j21]Lasguido Nio, Sakriani Sakti, Graham Neubig, Koichiro Yoshino, Satoshi Nakamura:
Neural Network Approaches to Dialog Response Retrieval and Generation. IEICE Trans. Inf. Syst. 99-D(10): 2508-2517 (2016) - [j20]Yuji Oshima, Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Non-Native Text-to-Speech Preserving Speaker Individuality Based on Partial Correction of Prosodic and Phonetic Characteristics. IEICE Trans. Inf. Syst. 99-D(12): 3132-3139 (2016) - [j19]Shinsuke Mori, Graham Neubig:
A comparative study of dictionaries and corpora as methods for language resource addition. Lang. Resour. Evaluation 50(2): 245-261 (2016) - [j18]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Hai Zhao, Graham Neubig, Satoshi Nakamura:
Learning local word reorderings for hierarchical phrase-based statistical machine translation. Mach. Transl. 30(1-2): 1-18 (2016) - [j17]Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Learning cooperative persuasive dialogue policies using framing. Speech Commun. 84: 83-96 (2016) - [j16]Shinnosuke Takamichi, Tomoki Toda, Alan W. Black, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Postfilters to Modify the Modulation Spectrum for Statistical Parametric Speech Synthesis. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 755-767 (2016) - [j15]Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Hideki Negoro, Hidemi Iwasaka, Satoshi Nakamura:
Teaching Social Communication Skills Through Human-Agent Interaction. ACM Trans. Interact. Intell. Syst. 6(2): 18:1-18:26 (2016) - [c140]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation. ACL (1) 2016 - [c139]Toshiaki Nakazawa, Chenchen Ding, Hideya Mino, Isao Goto, Graham Neubig, Sadao Kurohashi:
Overview of the 3rd Workshop on Asian Translation. WAT@COLING 2016: 1-46 - [c138]Graham Neubig:
Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016. WAT@COLING 2016: 119-125 - [c137]Matthias Sperber, Graham Neubig, Jan Niehues, Sebastian Stüker, Alex Waibel:
Lightly Supervised Quality Estimation. COLING 2016: 3103-3113 - [c136]Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Hideki Negoro, Hidemi Iwasaka, Satoshi Nakamura:
Automated social skills training with audiovisual information. EMBC 2016: 2262-2265 - [c135]Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
Removing noise from event-related potentials using a probabilistic generative model with grouped covariance matrices. EMBC 2016: 3728-3731 - [c134]Graham Neubig, Chris Dyer:
Generalizing and Hybridizing Count-based and Neural Language Models. EMNLP 2016: 1163-1172 - [c133]Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura:
Controlling Output Length in Neural Encoder-Decoders. EMNLP 2016: 1328-1338 - [c132]Philip Arthur, Graham Neubig, Satoshi Nakamura:
Incorporating Discrete Translation Lexicons into Neural Machine Translation. EMNLP 2016: 1557-1567 - [c131]Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do, Satoshi Nakamura:
Learning a Lexicon and Translation Model from Phoneme Lattices. EMNLP 2016: 2377-2382 - [c130]Kou Tanaka, Tomoki Toda, Graham Neubig, Satoshi Nakamura:
Real-time vibration control of an electrolarynx based on statistical F0 contour prediction. EUSIPCO 2016: 1333-1337 - [c129]Rui Hiraoka, Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
Personalized unknown word detection in non-native language reading using eye gaze. ICMI 2016: 66-70 - [c128]Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird:
Learning a Translation Model from Word Lattices. INTERSPEECH 2016: 2518-2522 - [c127]Quoc Truong Do, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
Transferring Emphasis in Speech Translation Using Hard-Attentional Neural Network Models. INTERSPEECH 2016: 2533-2537 - [c126]Satoshi Tsujioka, Sakriani Sakti, Koichiro Yoshino, Graham Neubig, Satoshi Nakamura:
Unsupervised Joint Estimation of Grapheme-to-Phoneme Conversion Systems and Acoustic Model Adaptation for Non-Native Speech Recognition. INTERSPEECH 2016: 3091-3095 - [c125]Quoc Truong Do, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A Hybrid System for Continuous Word-Level Emphasis Modeling Based on HMM State Clustering and Adaptive Training. INTERSPEECH 2016: 3196-3200 - [c124]Marco Vetter, Markus Müller, Fatima Hamlaoui, Graham Neubig, Satoshi Nakamura, Sebastian Stüker, Alex Waibel:
Unsupervised Phoneme Segmentation of Previously Unseen Languages. INTERSPEECH 2016: 3544-3548 - [c123]Takuya Hiraoka, Graham Neubig, Koichiro Yoshino, Tomoki Toda, Satoshi Nakamura:
Active Learning for Example-Based Dialog Systems. IWSDS 2016: 67-78 - [c122]Matthias Sperber, Graham Neubig, Satoshi Nakamura, Alex Waibel:
Optimizing Computer-Assisted Transcription Quality with Iterative User Interfaces. LREC 2016 - [c121]Akiva Miura, Graham Neubig, Michael Paul, Satoshi Nakamura:
Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation. HLT-NAACL 2016: 20-29 - [c120]Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer:
Morphological Inflection Generation Using Character Sequence to Sequence Learning. HLT-NAACL 2016: 634-643 - [c119]Masahiro Mizukami, Koichiro Yoshino, Graham Neubig, David R. Traum, Satoshi Nakamura:
Analyzing the Effect of Entrainment on Dialogue Acts. SIGDIAL Conference 2016: 310-318 - [c118]Sakriani Sakti, Seiji Kawanishi, Graham Neubig, Koichiro Yoshino, Satoshi Nakamura:
Deep bottleneck features and sound-dependent i-vectors for simultaneous recognition of speech and environmental sounds. SLT 2016: 35-42 - [e3]Toshiaki Nakazawa, Hideya Mino, Chenchen Ding, Isao Goto, Graham Neubig, Sadao Kurohashi, Ir. Hammam Riza, Pushpak Bhattacharyya:
Proceedings of the 3rd Workshop on Asian Translation, WAT@COLING 2016, Osaka, Japan, December 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-714-3 [contents] - [i8]Graham Neubig, Chris Dyer:
Generalizing and Hybridizing Count-based and Neural Language Models. CoRR abs/1606.00499 (2016) - [i7]Philip Arthur, Graham Neubig, Satoshi Nakamura:
Incorporating Discrete Translation Lexicons into Neural Machine Translation. CoRR abs/1606.02006 (2016) - [i6]Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura:
Controlling Output Length in Neural Encoder-Decoders. CoRR abs/1609.09552 (2016) - [i5]Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li:
Learning to Translate in Real-time with Neural Machine Translation. CoRR abs/1610.00388 (2016) - [i4]Graham Neubig:
Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016. CoRR abs/1610.06542 (2016) - [i3]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? CoRR abs/1611.05774 (2016) - 2015
- [j14]Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
NOCOA+: Multimodal Computer-Based Training for Social and Communication Skills. IEICE Trans. Inf. Syst. 98-D(8): 1536-1544 (2015) - [j13]Philip Arthur, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Semantic Parsing of Ambiguous Input through Paraphrasing and Verification. Trans. Assoc. Comput. Linguistics 3: 571-584 (2015) - [c117]Masahiro Mizukami, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Linguistic Individuality Transformation for Spoken Language. IWSDS 2015: 129-143 - [c116]Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura:
A Study on Natural Expressive Speech: Automatic Memorable Spoken Quote Detection. IWSDS 2015: 145-152 - [c115]Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System. IWSDS 2015: 153-167 - [c114]Takafumi Sasakura, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Unknown Word Detection Based on Event-Related Brain Desynchronization Responses. IWSDS 2015: 169-175 - [c113]Yuiko Tsunomori, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
An Analysis Towards Dialogue-Based Deception Detection. IWSDS 2015: 177-187 - [c112]Yusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents. ACL (1) 2015: 198-207 - [c111]Akiva Miura, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Improving Pivot Translation by Remembering the Pivot. ACL (2) 2015: 573-577 - [c110]Toshiaki Nakazawa, Hideya Mino, Isao Goto, Graham Neubig, Sadao Kurohashi, Eiichiro Sumita:
Overview of the 2nd Workshop on Asian Translation. WAT 2015: 1-28 - [c109]Graham Neubig, Makoto Morishita, Satoshi Nakamura:
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015. WAT 2015: 35-41 - [c108]Sakriani Sakti, Faiz Ilham, Graham Neubig, Tomoki Toda, Ayu Purwarianti, Satoshi Nakamura:
Incremental sentence compression using LSTM recurrent networks. ASRU 2015: 252-258 - [c107]Quoc Truong Do, Michael Heck, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
The NAIST ASR system for the 2015 Multi-Genre Broadcast challenge: On combination of deep learning systems using a rank-score function. ASRU 2015: 654-659 - [c106]Nurul Lubis, Sakriani Sakti, Graham Neubig, Koichiro Yoshino, Tomoki Toda, Satoshi Nakamura:
A study of social-affective communication: Automatic prediction of emotion triggers and responses in television talk shows. ASRU 2015: 777-783 - [c105]Masahiro Mizukami, Hideaki Kizuki, Toshio Nomura, Graham Neubig, Koichiro Yoshino, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Adaptive selection from multiple response candidates in example-based dialogue. ASRU 2015: 784-790 - [c104]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An Enhanced Electrolarynx with Automatic Fundamental Frequency Control based on Statistical Prediction. ASSETS 2015: 435-436 - [c103]Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
An evaluation of EEG ocular artifact removal with a multi-channel wiener filter based on probabilistic generative model. EMBC 2015: 2775-2778 - [c102]Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
A Binarized Neural Network Joint Model for Machine Translation. EMNLP 2015: 2094-2099 - [c101]Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
EEG signal enhancement using multi-channel wiener filter with a spatial correlation prior. ICASSP 2015: 2639-2643 - [c100]Andros Tjandra, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura:
Combination of two-dimensional cochleogram and spectrogram features for deep learning-based ASR. ICASSP 2015: 4525-4529 - [c99]Yuji Oshima, Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Non-native speech synthesis preserving speaker individuality based on partial correction of prosodic and phonetic characteristics. INTERSPEECH 2015: 299-303 - [c98]Takashi Mieno, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Speed or accuracy? a study in evaluation of simultaneous speech translation. INTERSPEECH 2015: 2267-2271 - [c97]The Tung Nguyen, Graham Neubig, Hiroyuki Shindo, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
A latent variable model for joint pause prediction and dependency parsing. INTERSPEECH 2015: 2719-2723 - [c96]Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Statistical singing voice conversion based on direct waveform modification with global variance. INTERSPEECH 2015: 2754-2758 - [c95]Yusuke Tajiri, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Non-audible murmur enhancement based on statistical conversion using air- and body-conductive microphones in noisy environments. INTERSPEECH 2015: 2769-2773 - [c94]Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Articulatory controllable speech modification based on Gaussian mixture models with direct waveform modification using spectrum differential. INTERSPEECH 2015: 3350-3354 - [c93]Quoc Truong Do, Shinnosuke Takamichi, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Preserving word-level emphasis in speech-to-speech translation using linear regression HSMMs. INTERSPEECH 2015: 3665-3669 - [c92]Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Hideki Negoro, Hidemi Iwasaka, Satoshi Nakamura:
Automated Social Skills Trainer. IUI 2015: 17-27 - [c91]Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird:
Inducing bilingual lexicons from small quantities of sentence-aligned phonemic transcriptions. IWSLT 2015 - [c90]Quoc Truong Do, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Improving translation of emphasis with pause prediction in speech-to-speech translation systems. IWSLT 2015 - [c89]Michael Heck, Quoc Truong Do, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
The NAIST English speech recognition system for IWSLT 2015. IWSLT (Evaluation Campaign) 2015 - [c88]Makoto Morishita, Koichi Akabe, Yuto Hatakoshi, Graham Neubig, Koichiro Yoshino, Satoshi Nakamura:
Parser self-training for syntax-based machine translation. IWSLT 2015 - [c87]Yusuke Oda, Hiroyuki Fudaba, Graham Neubig, Hideaki Hata, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T). ASE 2015: 574-584 - [c86]Hiroyuki Fudaba, Yusuke Oda, Koichi Akabe, Graham Neubig, Hideaki Hata, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Pseudogen: A Tool to Automatically Generate Pseudo-Code from Source Code. ASE 2015: 824-829 - [c85]Yusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Ckylark: A More Robust PCFG-LA Parser. HLT-NAACL 2015: 41-45 - [c84]Graham Neubig, Philip Arthur, Kevin Duh:
Multi-Target Machine Translation with Multi-Synchronous Context-free Grammars. HLT-NAACL 2015: 293-302 - [c83]Nurul Lubis, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Construction and analysis of social-affective interaction corpus in English and Indonesian. O-COCOSDA/CASLRE 2015: 202-206 - [c82]Shinsuke Mori, Yosuke Nakata, Graham Neubig, Tetsuro Sasada:
Pointwise Prediction and Sequence-Based Reranking for Adaptable Part-of-Speech Tagging. PACLING 2015: 3-17 - [c81]Kyoshiro Sugiyama, Masahiro Mizukami, Graham Neubig, Koichiro Yoshino, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
An Investigation of Machine Translation Evaluation Metrics in Cross-lingual Question Answering. WMT@EMNLP 2015: 442-449 - [e2]Toshiaki Nakazawa, Hideya Mino, Isao Goto, Graham Neubig, Sadao Kurohashi, Eiichiro Sumita:
Proceedings of the 2nd Workshop on Asian Translation, WAT 2015, Kyoto, Japan, October 16, 2015. Workshop on Asian Translation 2015 [contents] - [i2]Graham Neubig, Makoto Morishita, Satoshi Nakamura:
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015. CoRR abs/1510.05203 (2015) - [i1]Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer:
Morphological Inflection Generation Using Character Sequence to Sequence Learning. CoRR abs/1512.06110 (2015) - 2014
- [j12]Kazuhiro Kobayashi, Tomoki Toda, Hironori Doi, Tomoyasu Nakano, Masataka Goto, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Voice Timbre Control Based on Perceived Age in Singing Voice Conversion. IEICE Trans. Inf. Syst. 97-D(6): 1419-1428 (2014) - [j11]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A Hybrid Approach to Electrolaryngeal Speech Enhancement Based on Noise Reduction and Statistical Excitation Generation. IEICE Trans. Inf. Syst. 97-D(6): 1429-1437 (2014) - [j10]Keigo Kubo, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Structured Adaptive Regularization of Weight Vectors for a Robust Grapheme-to-Phoneme Conversion Model. IEICE Trans. Inf. Syst. 97-D(6): 1468-1476 (2014) - [j9]Lasguido Nio, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Utilizing Human-to-Human Conversation Examples for a Multi Domain Chat-Oriented Dialog System. IEICE Trans. Inf. Syst. 97-D(6): 1497-1505 (2014) - [j8]Shinnosuke Takamichi, Tomoki Toda, Yoshinori Shiga, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
Parameter Generation Methods With Rich Context Models for High-Quality and Flexible Text-To-Speech Synthesis. IEEE J. Sel. Top. Signal Process. 8(2): 239-250 (2014) - [j7]Matthias Sperber, Mirjam Simantzik, Graham Neubig, Satoshi Nakamura, Alex Waibel:
Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff. Trans. Assoc. Comput. Linguistics 2: 169-180 (2014) - [c80]Graham Neubig, Kevin Duh:
On the Elements of an Accurate Tree-to-String Machine Translation System. ACL (2) 2014: 143-149 - [c79]Yusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Optimizing Segmentation Strategies for Simultaneous Speech Translation. ACL (2) 2014: 551-556 - [c78]Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Linguistic and Acoustic Features for Automatic Identification of Autism Spectrum Disorders in Children's Narrative. CLPsych@ACL 2014: 88-96 - [c77]Graham Neubig:
Forest-to-String SMT for Asian Language Translation: NAIST at WAT 2014. WAT 2014: 20-25 - [c76]Kazuhiro Kobayashi, Tomoki Toda, Tomoyasu Nakano, Masataka Goto, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Gender-dependent spectrum differential models for perceived age control based on direct waveform modification in singing voice conversion. APSIPA 2014: 1-4 - [c75]Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura:
The use of semantic and acoustic features for open-domain TED talk summarization. APSIPA 2014: 1-4 - [c74]Lasguido Nio, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Recursive neural network paraphrase identification for example-based dialog retrieval. APSIPA 2014: 1-4 - [c73]Sakriani Sakti, Yu Odagaki, Takafumi Sasakura, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
An event-related brain potential study on the impact of speech recognition errors. APSIPA 2014: 1-4 - [c72]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An inter-speaker evaluation through simulation of electrolarynx control based on statistical F0 prediction. APSIPA 2014: 1-4 - [c71]Sakura Tsuruta, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An evaluation of target speech for a nonaudible murmur enhancement system in noisy environments. APSIPA 2014: 1-4 - [c70]Riki Yoshida, Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Unnecessary utterance detection for avoiding digressions in discussion. APSIPA 2014: 1-4 - [c69]Koichi Akabe, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Discriminative Language Models as a Tool for Machine Translation Error Analysis. COLING 2014: 1124-1132 - [c68]Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Reinforcement Learning of Cooperative Persuasive Dialogue Policies using Framing. COLING 2014: 1706-1717 - [c67]Hoa Trong Vu, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Acquiring a Dictionary of Emotion-Provoking Events. EACL 2014: 128-132 - [c66]Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A postfilter to modify the modulation spectrum in HMM-based speech synthesis. ICASSP 2014: 290-294 - [c65]Keigo Kubo, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Narrow Adaptive Regularization of weights for grapheme-to-phoneme conversion. ICASSP 2014: 2589-2593 - [c64]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement. ICASSP 2014: 4488-4492 - [c63]Kazuhiro Kobayashi, Tomoki Toda, Tomoyasu Nakano, Masataka Goto, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Regression approaches to perceptual age control in singing voice conversion. ICASSP 2014: 7904-7908 - [c62]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Direct F0 control of an electrolarynx based on statistical excitation feature prediction and its evaluation through simulation. INTERSPEECH 2014: 31-35 - [c61]Nozomi Jinbo, Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A hearing impairment simulation method using audiogram-based approximation of auditory charatecteristics. INTERSPEECH 2014: 490-494 - [c60]Keigo Kubo, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Structured soft margin confidence weighted learning for grapheme-to-phoneme conversion. INTERSPEECH 2014: 1263-1267 - [c59]Sho Matsumiya, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Data-driven generation of text balloons based on linguistic and acoustic features of a comics-anime corpus. INTERSPEECH 2014: 1801-1805 - [c58]Patrick Lumban Tobing, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura, Ayu Purwarianti:
Articulatory controllable speech modification based on statistical feature mapping with Gaussian mixture models. INTERSPEECH 2014: 2298-2302 - [c57]Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Statistical singing voice conversion with direct waveform modification based on the spectrum differential. INTERSPEECH 2014: 2514-2518 - [c56]Nurul Lubis, Sakriani Sakti, Graham Neubig, Tomoki Toda, Ayu Purwarianti, Satoshi Nakamura:
Emotion and Its Triggers in Human Spoken Dialogue: Recognition and Analysis. IWSDS 2014: 103-110 - [c55]Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Construction and Analysis of a Persuasive Dialogue Corpus. IWSDS 2014: 125-138 - [c54]Graham Neubig, Katsuhito Sudoh, Yusuke Oda, Kevin Duh, Hajime Tsukada, Masaaki Nagata:
The NAIST-NTT TED talk treebank. IWSLT 2014 - [c53]Katsuhito Sudoh, Graham Neubig, Kevin Duh, Katsuhiko Hayashi:
NTT-NAIST syntax-based SMT systems for IWSLT 2014. IWSLT (Evaluation Campaign) 2014 - [c52]Hiroaki Shimizu, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Collection of a Simultaneous Translation Corpus for Comparative Analysis. LREC 2014: 670-673 - [c51]Shinsuke Mori, Graham Neubig:
Language Resource Addition: Dictionary or Corpus? LREC 2014: 1631-1636 - [c50]Sakriani Sakti, Keigo Kubo, Sho Matsumiya, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Fumihiro Adachi, Ryosuke Isotani:
Towards Multilingual Conversations in the Medical Domain: Development of Multilingual Medical Data and A Network-based ASR System. LREC 2014: 2639-2643 - [c49]Quoc Truong Do, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Collection and analysis of a Japanese-English emphasized speech corpora. O-COCOSDA 2014: 1-5 - [c48]Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura:
Memorable spoken quote corpora of TED public speaking. O-COCOSDA 2014: 1-4 - [c47]Masahiro Mizukami, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Building a free, general-domain paraphrase database for Japanese. O-COCOSDA 2014: 1-4 - [c46]Lasguido Nio, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Conversation dialog corpora from television and movie scripts. O-COCOSDA 2014: 1-4 - [c45]Lasguido Nio, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Improving the robustness of example-based dialog retrieval using recursive neural network paraphrase identification. SLT 2014: 306-311 - [c44]Matthias Sperber, Graham Neubig, Satoshi Nakamura, Alex Waibel:
On-the-fly user modeling for cost-sensitive correction of speech transcripts. SLT 2014: 460-465 - [c43]Yuto Hatakoshi, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Rule-based Syntactic Preprocessing for Syntax-based Machine Translation. SSST@EMNLP 2014: 34-42 - 2013
- [j6]Graham Neubig, Taro Watanabe, Shinsuke Mori, Tatsuya Kawahara:
Substring-based machine translation. Mach. Transl. 27(2): 139-166 (2013) - [c42]Graham Neubig, Kevin Duh:
How Much Is Said in a Tweet? A Multilingual, Information-theoretic Perspective. AAAI Spring Symposium: Analyzing Microtext 2013 - [c41]Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura, Yuji Matsumoto, Ryosuke Isotani, Yukichi Ikeda:
Towards High-Reliability Speech Translation in the Medical Domain. NLPHealthcare@IJCNLP 2013: 22-29 - [c40]Graham Neubig:
Travatar: A Forest-to-String Machine Translation Engine based on Tree Transducers. ACL (Conference System Demonstrations) 2013: 91-96 - [c39]Kevin Duh, Graham Neubig, Katsuhito Sudoh, Hajime Tsukada:
Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation. ACL (2) 2013: 678-683 - [c38]Takuya Hiraoka, Yuki Yamauchi, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Dialogue management for leading the conversation in persuasive dialogue systems. ASRU 2013: 114-119 - [c37]Philip Arthur, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Inter-Sentence Features and Thresholded Minimum Error Rate Training: NAIST at CLEF 2013 QA4MRE. CLEF (Working Notes) 2013 - [c36]Philip Arthur, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
NAIST at the CLEF 2013 QA4MRE Pilot Task. CLEF (Working Notes) 2013 - [c35]Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Modality and contextual differences in computer based non-verbal communication training. CogInfoCom 2013: 127-132 - [c34]Graham Neubig, Shinsuke Mori, Masahiro Mizukami:
A Framework and Tool for Collaborative Extraction of Reliable Information. LPCI@IJCNLP 2013: 26-35 - [c33]Shinnosuke Takamichi, Tomoki Toda, Yoshinori Shiga, Sakriani Sakti, Graham Neubig, Satoshi Nakamura:
Improvements to HMM-based speech synthesis based on parameter generation with rich context models. INTERSPEECH 2013: 364-368 - [c32]Kazuhiro Kobayashi, Hironori Doi, Tomoki Toda, Tomoyasu Nakano, Masataka Goto, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
An investigation of acoustic features for singing voice conversion based on perceptual age. INTERSPEECH 2013: 1057-1061 - [c31]Matthias Sperber, Graham Neubig, Christian Fügen, Satoshi Nakamura, Alex Waibel:
Efficient speech transcription through respeaking. INTERSPEECH 2013: 1087-1091 - [c30]Keigo Kubo, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Grapheme-to-phoneme conversion based on adaptive regularization of weight vectors. INTERSPEECH 2013: 1946-1950 - [c29]Takatomo Kano, Shinnosuke Takamichi, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
Generalizing continuous-space translation of paralinguistic information. INTERSPEECH 2013: 2614-2618 - [c28]Masaya Ohgushi, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
An empirical comparison of joint optimization techniques for speech translation. INTERSPEECH 2013: 2619-2623 - [c27]Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A hybrid approach to electrolaryngeal speech enhancement based on spectral subtraction and statistical voice conversion. INTERSPEECH 2013: 3067-3071 - [c26]Takuto Moriguchi, Tomoki Toda, Motoaki Sano, Hiroshi Sato, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
A digital signal processor implementation of silent/electrolaryngeal speech enhancement based on real-time statistical voice conversion. INTERSPEECH 2013: 3072-3076 - [c25]Tomoki Fujita, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Simple, lexicalized choice of translation timing for simultaneous speech translation. INTERSPEECH 2013: 3487-3491 - [c24]Sakriani Sakti, Keigo Kubo, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
The NAIST English speech recognition system for IWSLT 2013. IWSLT (Evaluation Campaign) 2013 - [c23]Hiroaki Shimizu, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Constructing a speech translation system using simultaneous interpretation data. IWSLT 2013 - [c22]Katsuhito Sudoh, Graham Neubig, Kevin Duh, Hajime Tsukada:
NTT-NAIST SMT systems for IWSLT 2013. IWSLT (Evaluation Campaign) 2013 - [c21]Tatsuo Inukai, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Investigation of intra-speaker spectral parameter variation and its prediction towards improvement of spectral conversion metric. SSW 2013: 89-94 - [e1]Kentaro Inui, Hideto Kazawa, Graham Neubig, Masao Utiyama:
Proceedings of the Workshop on Language Processing and Crisis Information@IJCNLP 2013, Nagoya, Japan, October 14-18, 2013. Asian Federation of Natural Language Processing 2013, ISBN 978-4-9907348-6-2 [contents] - 2012
- [b1]Graham Neubig:
Unsupervised learning of lexical information for language processing systems. Kyoto University, Japan, 2012 - [j5]Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya Kawahara:
A monotonic statistical machine translation approach to speaking style transformation. Comput. Speech Lang. 26(5): 349-370 (2012) - [j4]Graham Neubig, Masato Mimura, Shinsuke Mori, Tatsuya Kawahara:
Bayesian Learning of a Language Model from Continuous Speech. IEICE Trans. Inf. Syst. 95-D(2): 614-625 (2012) - [j3]Graham Neubig, Taro Watanabe, Eiichiro Sumita, Shinsuke Mori, Tatsuya Kawahara:
Joint Phrase Alignment and Extraction for Statistical Machine Translation. Inf. Media Technol. 7(2): 793-804 (2012) - [j2]Daniel Flannery, Yusuke Miyao, Graham Neubig, Shinsuke Mori:
A Pointwise Approach to Training Dependency Parsers from Partially Annotated Corpora. Inf. Media Technol. 7(4): 1489-1513 (2012) - [j1]Graham Neubig, Taro Watanabe, Eiichiro Sumita, Shinsuke Mori, Tatsuya Kawahara:
Joint Phrase Alignment and Extraction for Statistical Machine Translation. J. Inf. Process. 20(2): 512-523 (2012) - [c20]Graham Neubig, Taro Watanabe, Shinsuke Mori, Tatsuya Kawahara:
Machine Translation without Words through Substring Alignment. ACL (1) 2012: 165-174 - [c19]Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Nick Campbell, Satoshi Nakamura:
Non-verbal cognitive skills and autistic conditions: An analysis and training tool. CogInfoCom 2012: 41-46 - [c18]Graham Neubig, Taro Watanabe, Shinsuke Mori:
Inducing a Discriminative Parser to Optimize Machine Translation Reordering. EMNLP-CoNLL 2012: 843-853 - [c17]Lasguido Nio, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura:
Developing Non-goal Dialog System Based on Examples of Drama Television. IWSDS 2012: 355-361 - [c16]Graham Neubig, Kevin Duh, Masaya Ogushi, Takatomo Kano, Tetsuo Kiso, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
The NAIST machine translation system for IWSLT2012. IWSLT 2012: 54-60 - [c15]Christian Saam, Christian Mohr, Kevin Kilgour, Michael Heck, Matthias Sperber, Keigo Kubo, Sebastian Stüker, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Alex Waibel:
The 2012 KIT and KIT-NAIST English ASR systems for the IWSLT evaluation. IWSLT 2012: 87-90 - [c14]Michael Heck, Keigo Kubo, Matthias Sperber, Sakriani Sakti, Sebastian Stüker, Christian Saam, Kevin Kilgour, Christian Mohr, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Alex Waibel:
The KIT-NAIST (contrastive) English ASR system for IWSLT 2012. IWSLT 2012: 91-95 - [c13]Takatomo Kano, Sakriani Sakti, Shinnosuke Takamichi, Graham Neubig, Tomoki Toda, Satoshi Nakamura:
A method for translation of paralinguistic information. IWSLT 2012: 158-163 - 2011
- [c12]Graham Neubig, Yosuke Nakata, Shinsuke Mori:
Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis. ACL (2) 2011: 529-533 - [c11]Graham Neubig, Taro Watanabe, Eiichiro Sumita, Shinsuke Mori, Tatsuya Kawahara:
An Unsupervised Model for Joint Phrase Alignment and Extraction. ACL 2011: 632-641 - [c10]Daniel Flannery, Yusuke Miyao, Graham Neubig, Shinsuke Mori:
Training Dependency Parsers from Partially Annotated Corpora. IJCNLP 2011: 776-784 - [c9]Graham Neubig, Yuichiroh Matsubayashi, Masato Hagiwara, Koji Murakami:
Safety Information Mining - What can NLP do in a disaster -. IJCNLP 2011: 965-973 - [c8]Shinsuke Mori, Graham Neubig:
A Pointwise Approach to Pronunciation Estimation for a TTS Front-End. INTERSPEECH 2011: 2181-2184 - [c7]Andrew M. Finch, Chooi-Ling Goh, Graham Neubig, Eiichiro Sumita:
The NICT translation system for IWSLT 2011. IWSLT 2011: 49-56 - [c6]Masao Utiyama, Graham Neubig, Takashi Onishi, Eiichiro Sumita:
Searching Translation Memories for Paraphrases. MTSummit 2011 - 2010
- [c5]Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya Kawahara:
Improved statistical models for SMT-based speaking style transformation. ICASSP 2010: 5206-5209 - [c4]Yuya Akita, Masato Mimura, Graham Neubig, Tatsuya Kawahara:
Semi-automated update of automatic transcription system for the Japanese national congress. INTERSPEECH 2010: 338-341 - [c3]Graham Neubig, Masato Mimura, Shinsuke Mori, Tatsuya Kawahara:
Learning a language model from continuous speech. INTERSPEECH 2010: 1053-1056 - [c2]Graham Neubig, Shinsuke Mori:
Word-based Partial Annotation for Efficient Corpus Construction. LREC 2010
2000 – 2009
- 2009
- [c1]Graham Neubig, Shinsuke Mori, Tatsuya Kawahara:
A WFST-based log-linear framework for speaking-style transformation. INTERSPEECH 2009: 1495-1498
Coauthor Index
Antonios Anastasopoulos
aka: Antonis Anastasopoulos
aka: Antonis Anastasopoulos
[i288] [c367] [c364] [i262] [i255] [i239] [c340] [i223] [i213] [j42] [j38] [c298] [c297] [c290] [i181] [i180] [i160] [i152] [i149] [c268] [c267] [c264] [c263] [c261] [c256] [c255] [c254] [c253] [c250] [c244] [c243] [c241] [c240] [i143] [i139] [i136] [i134] [i133] [i130] [i126] [i124] [i122] [i116] [i114] [c234] [c228] [c222] [c220] [c202] [c201] [i95] [i90] [i89] [i87] [i83] [i69] [i66] [i28]
André F. T. Martins
aka: André Filipe Torres Martins
aka: André Filipe Torres Martins
[j36] [j31] [j28] [c192] [c176] [c170] [i58] [i50] [i35] [j26] [j25] [c162] [c158] [c156] [c148] [c142] [c141] [i22] [i18] [i12] [i11] [j23] [j22] [j21] [j20] [j18] [j17] [j16] [j15] [c140] [c136] [c135] [c132] [c131] [c130] [c129] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c119] [c118] [i7] [j14] [j13] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c90] [c89] [c88] [c87] [c86] [c85] [c83] [c81] [i2] [j12] [j11] [j10] [j9] [j8] [j7] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c41] [c38] [c37] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c21] [c19] [c17] [c16] [c15] [c14] [c13]
[c374] [i194] [j28] [j25] [c156] [j23] [j22] [j21] [j20] [j17] [j16] [j15] [c136] [c135] [c129] [c127] [c126] [c125] [c118] [j14] [j13] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c108] [c107] [c106] [c105] [c104] [c103] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c90] [c89] [c87] [c86] [c85] [c83] [c81] [j12] [j11] [j10] [j9] [j8] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [c41] [c38] [c37] [c36] [c35] [c33] [c32] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c21] [c19] [c17] [c16] [c15] [c14] [c13]
[j28] [j25] [c156] [j23] [j22] [j20] [j17] [j16] [j15] [c135] [c130] [c125] [c123] [j14] [j13] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c108] [c107] [c106] [c105] [c104] [c103] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c90] [c87] [c86] [c85] [c83] [c81] [j12] [j11] [j10] [j9] [j8] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [c41] [c38] [c37] [c36] [c35] [c33] [c32] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c21] [c19] [c17] [c16] [c15] [c14] [c13]
Sherry Tongshuang Wu
aka: Tongshuang Wu
aka: Tongshuang Wu
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