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2020 – today
- 2024
- [j23]Chunyun Zhang, Hebo Ma, Chaoran Cui, Yumo Yao, Weiran Xu, Yunfeng Zhang, Yuling Ma:
CoSKT: A Collaborative Self-Supervised Learning Method for Knowledge Tracing. IEEE Trans. Learn. Technol. 17: 1502-1514 (2024) - [c128]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) 2024: 4706-4721 - [c127]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING 2024: 2354-2364 - [c126]Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. LREC/COLING 2024: 2458-2467 - [c125]Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng:
Faceptor: A Generalist Model for Face Perception. ECCV (34) 2024: 240-260 - [c124]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 2024: 14027-14043 - [c123]Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu:
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. ICASSP 2024: 6150-6154 - [c122]Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. NAACL-HLT (Findings) 2024: 800-813 - [c121]Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Weiran Xu:
UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle. NAACL-HLT (Findings) 2024: 2661-2673 - [i55]Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu:
Knowledge Editing on Black-box Large Language Models. CoRR abs/2402.08631 (2024) - [i54]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR abs/2402.09136 (2024) - [i53]Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu:
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. CoRR abs/2402.11279 (2024) - [i52]Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu:
PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR abs/2402.11534 (2024) - [i51]Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu:
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task. CoRR abs/2402.14494 (2024) - [i50]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR abs/2402.17256 (2024) - [i49]Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. CoRR abs/2403.01163 (2024) - [i48]Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng:
Faceptor: A Generalist Model for Face Perception. CoRR abs/2403.09500 (2024) - [i47]Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. CoRR abs/2404.00557 (2024) - [i46]Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang, Weiran Xu, Yu Sun, Hua Wu:
HFT: Half Fine-Tuning for Large Language Models. CoRR abs/2404.18466 (2024) - [i45]Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu:
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. CoRR abs/2406.08587 (2024) - [i44]Muxi Diao, Rumei Li, Shiyang Liu, Guogang Liao, Jingang Wang, Xunliang Cai, Weiran Xu:
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. CoRR abs/2408.02632 (2024) - [i43]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR abs/2409.03810 (2024) - 2023
- [c120]Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. ACL (Findings) 2023: 825-834 - [c119]QiXiang Gao, Mingyang Sun, Yutao Mou, Chen Zeng, Weiran Xu:
Value type: the bridge to a better DST model. ACL (Findings) 2023: 1211-1219 - [c118]Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu:
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL (1) 2023: 6532-6546 - [c117]Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu:
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. ACL (1) 2023: 9661-9675 - [c116]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL (1) 2023: 14179-14196 - [c115]Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CIKM 2023: 430-440 - [c114]Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu:
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. CIKM 2023: 3854-3859 - [c113]Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. EMNLP (Findings) 2023: 3926-3939 - [c112]Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Jinxu Zhao, Pei Wang, Weiran Xu:
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. EMNLP (Findings) 2023: 4370-4382 - [c111]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP 2023: 10291-10304 - [c110]Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu:
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. EMNLP (Findings) 2023: 10506-10518 - [c109]Yuxiang Wu, Guanting Dong, Weiran Xu:
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. EMNLP (Findings) 2023: 11093-11099 - [c108]Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu:
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. ICASSP 2023: 1-5 - [c107]Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu:
Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. ICASSP 2023: 1-5 - [c106]Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu:
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. NLPCC (1) 2023: 682-694 - [i42]Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu:
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. CoRR abs/2302.13584 (2023) - [i41]Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu:
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery. CoRR abs/2305.17699 (2023) - [i40]Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu:
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. CoRR abs/2306.10315 (2023) - [i39]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. CoRR abs/2306.10317 (2023) - [i38]Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. CoRR abs/2307.02830 (2023) - [i37]Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu:
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. CoRR abs/2308.14436 (2023) - [i36]Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CoRR abs/2308.14533 (2023) - [i35]Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu:
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR abs/2310.03518 (2023) - [i34]Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu:
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. CoRR abs/2310.06504 (2023) - [i33]Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu:
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. CoRR abs/2310.10169 (2023) - [i32]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR abs/2310.10176 (2023) - [i31]Xiaoshuai Song, Yutao Mou, Keqing He, Yueyan Qiu, Pei Wang, Weiran Xu:
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition. CoRR abs/2310.10184 (2023) - [i30]Yuxiang Wu, Guanting Dong, Weiran Xu:
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. CoRR abs/2310.10520 (2023) - [i29]Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. CoRR abs/2310.13380 (2023) - 2022
- [j22]Lulu Zhao, Weiran Xu, Chunyun Zhang, Jun Guo:
Leveraging speaker-aware structure and factual knowledge for faithful dialogue summarization. Knowl. Based Syst. 245: 108550 (2022) - [c105]Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu:
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. ACL (2) 2022: 46-53 - [c104]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu:
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. COLING 2022: 608-615 - [c103]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. COLING 2022: 707-720 - [c102]Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. COLING 2022: 5327-5334 - [c101]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP 2022: 1517-1529 - [c100]QiXiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu:
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking. EMNLP 2022: 2460-2465 - [c99]Gang Zhao, Guanting Dong, Yidong Shi, Haolong Yan, Weiran Xu, Si Li:
Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. EMNLP (Findings) 2022: 6345-6350 - [c98]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP 2022: 7317-7325 - [c97]Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang:
A Robust Contrastive Alignment Method for Multi-Domain Text Classification. ICASSP 2022: 7827-7831 - [c96]Yanan Wu, Keqing He, Yuanmeng Yan, QiXiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu:
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. NAACL-HLT 2022: 4165-4179 - [c95]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu:
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. NAACL-HLT 2022: 4848-4862 - [c94]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu:
ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. SIGIR 2022: 245-255 - [i28]Liwen Wang, Rumei Li, Yang Yan, Yuanmeng Yan, Sirui Wang, Wei Wu, Weiran Xu:
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER. CoRR abs/2203.03903 (2022) - [i27]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu:
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. CoRR abs/2204.04362 (2022) - [i26]Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang:
A Robust Contrastive Alignment Method For Multi-Domain Text Classification. CoRR abs/2204.12125 (2022) - [i25]Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. CoRR abs/2208.11508 (2022) - [i24]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR abs/2209.06030 (2022) - [i23]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Weiran Xu:
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation. CoRR abs/2209.06612 (2022) - [i22]Yanan Wu, Zhiyuan Zeng, Keqing He, Yutao Mou, Pei Wang, Yuanmeng Yan, Weiran Xu:
Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning. CoRR abs/2210.08830 (2022) - [i21]Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu:
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR abs/2210.08873 (2022) - [i20]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR abs/2210.08909 (2022) - [i19]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR abs/2210.10722 (2022) - 2021
- [j21]Keqing He, Yuanmeng Yan, Weiran Xu:
From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge. Neurocomputing 445: 267-275 (2021) - [j20]Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo:
Utilizing graph neural networks to improving dialogue-based relation extraction. Neurocomputing 456: 299-311 (2021) - [c93]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu:
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. ACL/IJCNLP (2) 2021: 870-878 - [c92]Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu, Jie Zhou:
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System. ACL/IJCNLP (Findings) 2021: 1091-1102 - [c91]Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu:
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. ACL/IJCNLP (1) 2021: 3484-3494 - [c90]Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu:
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. ACL/IJCNLP (1) 2021: 5065-5075 - [c89]Yuejie Lei, Fujia Zheng, Yuanmeng Yan, Keqing He, Weiran Xu:
A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization. EMNLP (Findings) 2021: 1354-1364 - [c88]Lulu Zhao, Weihao Zeng, Weiran Xu, Jun Guo:
Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization. EMNLP (Findings) 2021: 2435-2446 - [c87]Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu:
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models. EMNLP (1) 2021: 3653-3660 - [c86]Zhiyuan Zeng, Jiaze Chen, Weiran Xu, Lei Li:
Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization. EMNLP (1) 2021: 4102-4108 - [c85]Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu:
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. EMNLP (1) 2021: 9474-9480 - [c84]Zhiyuan Zeng, Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu:
Adversarial Generative Distance-Based Classifier for Robust Out-of-Domain Detection. ICASSP 2021: 7658-7662 - [c83]Yuejie Lei, Yuanmeng Yan, Zhiyuan Zeng, Keqing He, Ximing Zhang, Weiran Xu:
Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization. ICASSP 2021: 7823-7827 - [c82]Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu:
Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection. IJCNN 2021: 1-7 - [c81]Liwen Wang, Yuanmeng Yan, Keqing He, Yanan Wu, Weiran Xu:
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack. NAACL-HLT 2021: 3740-3750 - [c80]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu:
Adversarial Self-Supervised Learning for Out-of-Domain Detection. NAACL-HLT 2021: 5631-5639 - [i18]Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu:
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. CoRR abs/2105.11741 (2021) - [i17]Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu:
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning. CoRR abs/2105.14289 (2021) - [i16]Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu:
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System. CoRR abs/2105.14313 (2021) - [i15]Liwen Wang, Xuefeng Li, Jiachi Liu, Keqing He, Yuanmeng Yan, Weiran Xu:
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling. CoRR abs/2110.03572 (2021) - [i14]Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng:
TODSum: Task-Oriented Dialogue Summarization with State Tracking. CoRR abs/2110.12680 (2021) - 2020
- [j19]Keqing He, Weiran Xu, Yuanmeng Yan:
Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding. IEEE Access 8: 29407-29416 (2020) - [j18]Weiran Xu, Chenliang Li, Minghao Lee, Chi Zhang:
Multi-task learning for abstractive text summarization with key information guide network. EURASIP J. Adv. Signal Process. 2020(1): 16 (2020) - [j17]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo:
Salient context-based semantic matching for information retrieval. EURASIP J. Adv. Signal Process. 2020(1): 33 (2020) - [j16]Lulu Zhao, Weiran Xu, Sheng Gao, Jun Guo:
Cross-sentence N-ary relation classification using LSTMs on graph and sequence structures. Knowl. Based Syst. 207: 106266 (2020) - [j15]Max Aker, Konrad Altenmüller, Armen Beglarian, Jan Behrens, Anatoly Berlev, Uwe Besserer, Benedikt Bieringer, Klaus Blaum, Fabian Block, Beate Bornschein, Lutz Bornschein, Matthias Böttcher, Tim Brunst, Thomas C. Caldwell, Suren Chilingaryan, Wonqook Choi, Deseada D. Díaz Barrero, Karol Debowski, Marco Deffert, Martin Descher, Peter J. Doe, Otokar Dragoun, Guido Drexlin, Stephan Dyba, Frank Edzards, Klaus Eitel, Enrico Ellinger, Ralph Engel, Sanshiro Enomoto, Mariia Fedkevych, Arne Felden, Joseph F. Formaggio, Florian Fränkle, Gregg B. Franklin, Fabian Friedel, Alexander Fulst, Kevin Gauda, Woosik Gil, Ferenc Glück, Robin Größle, Rainer Gumbsheimer, Volker Hannen, Norman Haußmann, Klaus Helbing, Stephanie Hickford, Roman Hiller, David Hillesheimer, Dominic Hinz, Thomas Höhn, Thibaut Houdy, Anton Huber, Alexander Jansen, Christian Karl, Jonas Kellerer, Luke Kippenbrock, Manuel Klein, Christoph Köhler, Leonard Köllenberger, Andreas Kopmann, Marc Korzeczek, Alojz Kovalík, Bennet Krasch, Holger Krause, Luisa La Cascio, Thierry Lasserre, Thanh-Long Le, Ondrej Lebeda, Bjoern Lehnert, Alexey Lokhov, Moritz Machatschek, Emma Malcherek, Alexander Marsteller, Eric L. Martin, Matthias Meier, Christin Melzer, Susanne Mertens, Klaus Müller, Simon Niemes, Patrick Oelpmann, Alexander Osipowicz, Diana S. Parno, Alan W. P. Poon, Jose M. Lopez Poyato, Florian Priester, Oliver Rest, Marco Röllig, Carsten Röttele, R. G. Hamish Robertson, Caroline Rodenbeck, Milos Rysavy, Rudolf Sack, Alejandro Saenz, Peter Schäfer, Anna Schaller (née Pollithy), Lutz Schimpf, Klaus Schlösser, Magnus Schlösser, Lisa Schlüter, Michael Schrank, Bruno Schulz, Michal Sefcík, Hendrik Seitz-Moskaliuk, Valérian Sibille, Daniel Siegmann, Martin Slezák, Felix Spanier, Markus Steidl, Michael Sturm, Menglei Sun, Helmut H. Telle, Larisa A. Thorne, Thomas Thümmler, Nikita Titov, Igor Tkachev, Drahos Vénos, Kathrin Valerius, Ana P. Vizcaya Hernández, Marc Weber, Christian Weinheimer, Christiane Weiss, Stefan Welte, Jürgen Wendel, John F. Wilkerson, Joachim Wolf, Sascha Wüstling, Weiran Xu, Yung-Ruey Yen, Sergey Zadoroghny, Genrich Zeller:
Quantitative Long-Term Monitoring of the Circulating Gases in the KATRIN Experiment Using Raman Spectroscopy. Sensors 20(17): 4827 (2020) - [c79]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. AAAI 2020: 8673-8680 - [c78]Keqing He, Yuanmeng Yan, Weiran Xu:
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge. ACL 2020: 619-624 - [c77]Yuanyuan Qi, Jiayue Zhang, Yansong Liu, Weiran Xu, Jun Guo:
CGTR: Convolution Graph Topology Representation for Document Ranking. CIKM 2020: 2173-2176 - [c76]Lulu Zhao, Weiran Xu, Jun Guo:
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words. COLING 2020: 437-449 - [c75]Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu:
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space. COLING 2020: 1452-1460 - [c74]Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou:
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack. COLING 2020: 1461-1467 - [c73]Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu:
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots. EMNLP (1) 2020: 6070-6075 - [c72]Sihong Liu, Songyan Liu, Weiran Xu:
Gated Attentive Convolutional Network Dialogue State Tracker. ICASSP 2020: 6174-6178 - [c71]Chunyu Ma, Weiran Xu:
Unsupervised Bilingual Sentiment Word Embeddings for Cross-lingual Sentiment Classification. ICIAI 2020: 180-183 - [c70]Keqing He, Yuanmeng Yan, Weiran Xu:
Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages. IJCNN 2020: 1-8 - [c69]Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu:
Learning Label-Relational Output Structure for Adaptive Sequence Labeling. IJCNN 2020: 1-8 - [c68]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo, Honggang Zhang:
Learning Graph Topology Representation with Attention Networks. VCIP 2020: 1-4 - [i13]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. CoRR abs/2001.02332 (2020)
2010 – 2019
- 2019
- [j14]Chunyun Zhang, Chaoran Cui, Sheng Gao, Xiushan Nie, Weiran Xu, Lu Yang, Xiaoming Xi, Yilong Yin:
Multi-Gram CNN-Based Self-Attention Model for Relation Classification. IEEE Access 7: 5343-5357 (2019) - [j13]Weiran Xu, Xiusen Gu, Guang Chen:
Generating Emotional Controllable Response Based on Multi-Task and Dual Attention Framework. IEEE Access 7: 93734-93741 (2019) - [c67]Xiusen Gu, Weiran Xu, Chao Zhang:
Neural Emotional Response Generation via Adversarial Transfer Learning. ICIAI 2019: 106-110 - [c66]Xiusen Gu, Weiran Xu, Si Li:
Towards Automated Emotional Conversation Generation with Implicit and Explicit Affective Strategy. SSPS 2019: 125-130 - [c65]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo, Yan Li:
Finding Salient Context based on Semantic Matching for Relevance Ranking. VCIP 2019: 1-4 - [i12]Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo:
Finding Salient Context based on Semantic Matching for Relevance Ranking. CoRR abs/1909.01165 (2019) - 2018
- [c64]Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. ACL (1) 2018: 496-505 - [c63]Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. ACL (1) 2018: 2137-2147 - [c62]Yan Li, Chenliang Li, Weiran Xu, Junliang Li:
Prior Knowledge Integrated with Self-attention for Event Detection. CCIR 2018: 263-273 - [c61]Chenliang Li, Weiran Xu, Si Li, Sheng Gao:
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network. NAACL-HLT (2) 2018: 55-60 - [i11]Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. CoRR abs/1805.09927 (2018) - [i10]Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. CoRR abs/1805.09929 (2018) - 2017
- [j12]Pengda Qin, Weiran Xu, Jun Guo:
Providing Definitive Learning Direction for Relation Classification System. J. Control. Sci. Eng. 2017: 3924641:1-3924641:10 (2017) - [j11]Jiayue Zhang, Weiran Xu, Jun Guo, Sheng Gao:
A temporal model in Electronic Health Record search. Knowl. Based Syst. 126: 56-67 (2017) - [c60]Zuyi Bao, Si Li, Weiran Xu, Sheng Gao:
Neural Regularized Domain Adaptation for Chinese Word Segmentation. SIGHAN@IJCNLP 2017: 11-20 - [c59]Zuyi Bao, Si Li, Weiran Xu, Sheng Gao:
Neural domain adaptation for Chinese word segmentation. IALP 2017: 131-134 - [c58]Tian Tian, Weiran Xu:
Chinese Lexical Normalization Based on Information Extraction: An Experimental Study. ICANN (2) 2017: 216-223 - [c57]Yao Lu, Chunyun Zhang, Weiran Xu:
Instance-Adaptive Attention Mechanism for Relation Classification. ICANN (2) 2017: 322-330 - [c56]Dongyun Liang, Weiran Xu, Yinge Zhao:
Combining Character-Level Representation for Relation Classification. ICANN (2) 2017: 394-401 - [c55]Pengda Qin, Weiran Xu, Jun Guo:
Designing an adaptive attention mechanism for relation classification. IJCNN 2017: 4356-4362 - [c54]Zuyi Bao, Si Li, Sheng Gao, Weiran Xu:
Neural Domain Adaptation with Contextualized Character Embedding for Chinese Word Segmentation. NLPCC 2017: 419-430 - [c53]Pengda Qin, Weiran Xu, Jun Guo:
A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks. PAKDD (2) 2017: 3-14 - [c52]Dongyun Liang, Weiran Xu, Yinge Zhao:
Combining Word-Level and Character-Level Representations for Relation Classification of Informal Text. Rep4NLP@ACL 2017: 43-47 - [i9]Xiusen Gu, Chen Ding, Si Li, Weiran Xu:
BUPT-PRIS System for TAC 2017 Event Nugget Detection, Event Argument Linking and ADR Tracks. TAC 2017 - 2016
- [j10]Weiran Xu, Chunyun Zhang:
Trigger word mining for relation extraction based on activation force. Int. J. Commun. Syst. 29(14): 2134-2146 (2016) - [j9]Pengda Qin, Weiran Xu, Jun Guo:
A novel negative sampling based on TFIDF for learning word representation. Neurocomputing 177: 257-265 (2016) - [j8]Pengda Qin, Weiran Xu, Jun Guo:
An empirical convolutional neural network approach for semantic relation classification. Neurocomputing 190: 1-9 (2016) - [c51]Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, Weiran Xu:
Bitext Name Tagging for Cross-lingual Entity Annotation Projection. COLING 2016: 461-470 - [c50]Jiayue Zhang, Weiran Xu, Jun Guo:
A time-aware approach for boosting medical records search. DMIAF 2016: 99-102 - [c49]Yidong Jia, Weiran Xu, Pengda Qin, Zuyi Bao:
Fine-grained entity typing for knowledge base completion. IC-NIDC 2016: 361-365 - [c48]Zhengkuan Zhang, Weiran Xu, Qianqian Chen:
Joint Event Extraction Based on Skip-Window Convolutional Neural Networks. NLPCC/ICCPOL 2016: 324-334 - [i8]Zuyi Bao, Yao Lu, Tian Tian, Dongyun Liang, Yinge Zhao, Zhichao Li, Pengda Qin, Weiran Xu:
DoughnutPRIS at TAC KBP 2016. TAC 2016 - 2015
- [j7]Chunyun Zhang, Weiran Xu, Zhanyu Ma, Sheng Gao, Qun Li, Jun Guo:
Construction of semantic bootstrapping models for relation extraction. Knowl. Based Syst. 83: 128-137 (2015) - [j6]Chunyun Zhang, Yichang Zhang, Weiran Xu, Zhanyu Ma, Yan Leng, Jun Guo:
Mining activation force defined dependency patterns for relation extraction. Knowl. Based Syst. 86: 278-287 (2015) - [j5]Yan Li, Zhen Qin, Weiran Xu, Jun Guo:
A holistic model of mining product aspects and associated sentiments from online reviews. Multim. Tools Appl. 74(23): 10177-10194 (2015) - [c47]Qun Luo, Weiran Xu:
Learning Word Vectors Efficiently Using Shared Representations and Document Representations. AAAI 2015: 4180-4181 - [c46]Chunyun Zhang, Zhanyu Ma, Jiayue Zhang, Weiran Xu, Jun Guo:
A multi-level system for sequential update summarization. QSHINE 2015: 144-148 - [i7]Pengda Qin, Chaoyi Ma, Yidong Jia, Wei Wang, Zhengkuan Zhang, Zuyi Bao, Weiran Xu, Jun Guo:
BUPT_PRIS at TAC KBP 2015. TAC 2015 - 2014
- [c45]Qun Luo, Weiran Xu, Jun Guo:
A Study on the CBOW Model's Overfitting and Stability. Web-KRM@CIKM 2014: 9-12 - [c44]Yan Li, Hui Wang, Zhen Qin, Weiran Xu, Jun Guo:
Confidence Estimation and Reputation Analysis in Aspect Extraction. ICPR 2014: 3612-3617 - [c43]Chunyun Zhang, Weiran Xu, Sheng Gao, Jun Guo:
A bottom-up kernel of pattern learning for relation extraction. ISCSLP 2014: 609-613 - [c42]Weitai Zhang, Weiran Xu, Guang Chen, Jun Guo:
A Feature Extraction Method Based on Word Embedding for Word Similarity Computing. NLPCC 2014: 160-167 - [c41]Yuanyuan Qi, Qinlong Wang, Chuchu Huang, Bo Tang, Weiran Xu, Guang Chen, Jun Guo:
The Information Extraction systems of BUPT_PRIS at TREC2014 Temporal Summarization Track. TREC 2014 - [c40]Yuanyuan Qi, Ye Xu, Dongxu Zhang, Weiran Xu:
BUPT_PRIS at TREC 2014 Knowledge Base Acceleration Track. TREC 2014 - 2013
- [j4]Yan Li, Zhen Qin, Weiran Xu, Heng Ji, Jun Guo:
Unsupervised Sentiment-Bearing Feature Selection for Document-Level Sentiment Classification. IEICE Trans. Inf. Syst. 96-D(12): 2805-2813 (2013) - [c39]Jiayue Zhang, Jimmy Xiangji Huang, Jun Guo, Weiran Xu:
Promoting electronic health record search through a time-aware approach. BIBM 2013: 593-596 - [c38]Chunyun Zhang, Weiran Xu, Ruifang Liu, Weitai Zhang, Dai Zhang, Janshu Ji, Jing Yang:
PRIS at TREC2013 Knowledge Base Acceleration Track. TREC 2013 - [i6]Yan Li, Yichang Zhang, Doyu Li, Xin Tong, Jianlong Wang, Naiche Zuo, Ying Wang, Weiran Xu, Guang Chen, Jun Guo:
PRIS at Knowledge Base Population 2013. TAC 2013 - 2012
- [j3]Jun Guo, Guang Chen, Weiran Xu:
Word Activation Forces: Distinctive Statistics Revealing Word Associations. Wirel. Pers. Commun. 66(3): 511-521 (2012) - [c37]Jingyi Guan, Si Li, Weiran Xu, Guang Chen, Jun Guo:
In-depth blog retrieval based on improved pivoted normalization weighting coefficient. ICDIP 2012: 83344G - [c36]Mingzhi Dong, Liang Yin, Jun Guo, Weihong Deng, Weiran Xu:
Integrative labeling based statistical color models with application to skin detection. ICIP 2012: 2369-2372 - [c35]Mingzhi Dong, Liang Yin, Weihong Deng, Jun Guo, Weiran Xu:
A Computationally Efficient Algorithm for Building Statistical Color Models. ICME Workshops 2012: 402-407 - [c34]Li Zhang, Weiran Xu, Si Li:
Aspect identification and sentiment analysis based on NLP. IC-NIDC 2012: 660-664 - [c33]Yan Li, Si Li, Weiran Xu, Jun Guo:
Analyzing semantic orientation of terms using Affinity Propagation. ISCSLP 2012: 30-34 - [c32]Yan Li, Zhaozhao Wang, Baojin Yu, Yong Zhang, Ruiyang Luo, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2012 KBA Track. TREC 2012 - [c31]Lin Qiu, JunRui Peng, Qianqian Wang, Yue Liu, Zhihua Zhou, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2012 Contextual Suggestion Track. TREC 2012 - [c30]Jiayue Zhang, Sijia Chen, Yue Liu, Jie Yin, Qianqian Wang, Weiran Xu, Jun Guo:
PRIS at 2012 Microblog Track. TREC 2012 - [c29]Jiayue Zhang, Lin Lin, Shudang Diao, Yukun Li, Runnan Liu, Weiran Xu, Jun Guo:
PRIS at 2012 TREC Medical Track: Query Expansion, Retrieval and Ranking. TREC 2012 - [i5]Yan Li, Sijia Chen, Zhihua Zhou, Jie Yin, Hao Luo, Liyin Hong, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TAC2012 KBP Track. TAC 2012 - 2011
- [c28]Si Li, Zheng-Jun Zha, Zhaoyan Ming, Meng Wang, Tat-Seng Chua, Jun Guo, Weiran Xu:
Product comparison using comparative relations. SIGIR 2011: 1151-1152 - [c27]Yan Li, Zhenhua Zhang, Wenlong Lv, Qianlong Xie, Yuhang Lin, Rao Xu, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2011 Microblog Track. TREC 2011 - [c26]Zhanyi Wang, Wenlong Lv, Heng Li, Wenyuan Zhou, Li Zhang, Xiao Mo, Liaoming Zhou, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2011 Entity Track: Related Entity Finding and Entity List Completion. TREC 2011 - [c25]Jiayue Zhang, Xueneng Lin, Yang Zou, Shuai Zhu, Jing Xiao, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2011 Medical Record Track. TREC 2011 - [c24]Jiayue Zhang, Wenyi Yang, Xi Wang, Lihua Wu, Yongtian Zhang, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2011 Legal Track Discovery Based on Relevant Feedback. TREC 2011 - [i4]Xu Jian, Zhengzhong Liu, Qin Lu, Patty Liu, Chenchen Wang, Yan Li, Xiaoning Li, Hanying Huang, Yang Song, Cheng Chang, Liaoming Zhou, Jing Xiao, Dian Yu, Weiran Xu, Guang Chen, Jun Guo:
PolyUCOMP in TAC 2011 Entity Linking and Slot-Filling. TAC 2011 - 2010
- [j2]Si Li, Huiji Gao, Jingyi Guan, Weiran Xu, Jun Guo:
Faceted Blog Distillation System: Find an in-Depth Blog. J. Digit. Content Technol. its Appl. 4(8): 86-91 (2010) - [c23]Jiayue Zhang, Yichao Cai, Si Li, Weiran Xu, Jun Guo:
PRIS at Chinese Language Processing. CIPS-SIGHAN 2010 - [c22]Si Li, Hao Zhang, Weiran Xu, Guang Chen, Jun Guo:
Exploiting Combined Multi-level Model for Document Sentiment Analysis. ICPR 2010: 4141-4144 - [c21]Xinsheng Li, Si Li, Weiran Xu, Guang Chen, Jun Guo:
Weakly supervised relevance feedback based on an improved language model. NLPKE 2010: 1-5 - [c20]Si Li, Yan Li, Jiayue Zhang, Jingyi Guan, Xueji Sun, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2010 Blog Track: Faceted Blog Distillaton. TREC 2010 - [c19]Zhanyi Wang, Chunsong Tang, Xueji Sun, Haoyi Ouyang, Ru Lan, Weiran Xu, Guang Chen, Jun Guo:
PRIS at TREC 2010: Related Entity Finding Task of Entity Track. TREC 2010 - [c18]Sanyuan Gao, Si Li, Weiran Xu, Jun Guo:
Cross-Document Coreference Resolution Based on Automatic Text Summary. WKDD 2010: 306-309 - [i3]Sanyuan Gao, Yichao Cai, Si Li, Zongyu Zhang, Jingyi Guan, Yan Li, Hao Zhang, Weiran Xu, Jun Guo:
PRIS at TAC2010 KBP Track. TAC 2010
2000 – 2009
- 2009
- [j1]Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu:
Learning a locality discriminating projection for classification. Knowl. Based Syst. 22(8): 562-568 (2009) - [c17]Weiran Xu, Dong-xin Liu, Jun Guo, Yichao Cai, Rile Hu:
Supervised Dual-PLSA for Personalized SMS Filtering. AIRS 2009: 254-264 - [c16]DongXin Liu, Weiran Xu, Jiani Hu:
A feature-enhanced smoothing method for LDA model applied to text classification. NLPKE 2009: 1-7 - [c15]Si Li, Huiji Gao, Hao Sun, Fei Chen, Oupeng Feng, Sanyuan Gao, Hao Zhang, Xinsheng Li, Caili Tan, Weiran Xu, Guang Chen, Jun Guo:
A Study of Faceted Blog Distillation--PRIS at TREC 2009 Blog Track. TREC 2009 - [c14]Zhanyi Wang, Dong-xin Liu, Weiran Xu, Guang Chen, Jun Guo:
BUPT at TREC 2009: Entity Track. TREC 2009 - [i2]Si Li, Sanyuan Gao, Zongyu Zhang, Xinsheng Li, Jingyi Guan, Weiran Xu, Jun Guo:
PRIS at TAC 2009: Experiments in KBP Track. TAC 2009 - [i1]Pu Yang, Jun Guo, Weiran Xu:
PrisCrawler: A Relevance Based Crawler for Automated Data Classification from Bulletin Board. CoRR abs/0909.2489 (2009) - 2008
- [c13]Zhao Ru, Jun Guo, Weiran Xu:
Improving Expertise Recommender Systems by Odds Ratio. AIRS 2008: 1-9 - [c12]Hui He, Bo Chen, Lei Du, Si Li, Huiji Gao, Weiran Xu, Jun Guo:
PRIS in TREC 2008 Blog Track. TREC 2008 - 2007
- [c11]Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu:
Learning Locality Discriminating Indexing for Text Categorization. FSKD (3) 2007: 239-242 - [c10]Zhao Ru, Weiran Xu, Jun Guo:
An Expert Experience Probabilistic Model for Enterprise Expert Finding. FSKD (1) 2007: 477-481 - [c9]Jiani Hu, Weihong Deng, Jun Guo, Weiran Xu:
Locality discriminating indexing for document classification. SIGIR 2007: 689-690 - [c8]Hui He, Bo Chen, Weiran Xu, Jun Guo:
Short Text Feature Extraction and Clustering for Web Topic Mining. SKG 2007: 382-385 - 2006
- [c7]Bo Chen, Weiran Xu, Tao Peng, Jun Guo:
POC-NLW Template for Chinese Word Segmentation. SIGHAN@COLING/ACL 2006: 177-180 - [c6]Zhen Yang, Xiangfei Nie, Weiran Xu, Jun Guo:
An Approach to Spam Detection by Naive Bayes Ensemble Based on Decision Induction. ISDA (2) 2006: 861-866 - [c5]Zhen Yang, Jun Guo, Weiran Xu, Xiangfei Nie, Jian Wang, Jianjun Lei:
Multi-scale Support Vector Machine for Regression Estimation. ISNN (1) 2006: 1030-1037 - [c4]Zhao Ru, Quian Li, Weiran Xu, Jun Guo:
BUPT at TREC 2006: Enterprise Track. TREC 2006 - [c3]Zhen Yang, Wei Xu, Bo Chen, Weiran Xu, Jun Guo:
BUPT at TREC 2006: Spam Track. TREC 2006 - 2005
- [c2]Zhao Ru, Yuehua Chen, Weiran Xu, Jun Guo:
TREC 2005 Enterprise Track Experiments at BUPT. TREC 2005 - [c1]Zhen Yang, Weiran Xu, Bo Chen, Jiani Hu, Jun Guo:
PRIS Kidult Anti-SPAM Solution at the TREC 2005 Spam Track: Improving the Performance of Naive Bayes for Spam Detection. TREC 2005
Coauthor Index
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