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ORCIDHLT-NAACL 2016: San Diego, California, USA
- Kevin Knight, Ani Nenkova, Owen Rambow:
NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016. The Association for Computational Linguistics 2016, ISBN 978-1-941643-91-4 - Yvette Graham, Qun Liu:
Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics. 1-10 - John Richardson, Fabien Cromierès, Toshiaki Nakazawa, Sadao Kurohashi:
Flexible Non-Terminals for Dependency Tree-to-Tree Reordering. 11-19 - Akiva Miura, Graham Neubig, Michael Paul, Satoshi Nakamura:
Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation. 20-29 - Barret Zoph, Kevin Knight:
Multi-Source Neural Translation. 30-34 - Rico Sennrich, Barry Haddow, Alexandra Birch
:
Controlling Politeness in Neural Machine Translation via Side Constraints. 35-40 - Colin Cherry:
An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation. 41-46 - Lu Wang, Wang Ling:
Neural Network-Based Abstract Generation for Opinions and Arguments. 47-57 - William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent:
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization. 58-68 - Danish Contractor, Parag Singla, Mausam:
Entity-balanced Gaussian pLSA for Automated Comparison. 69-79 - Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman:
Automatic Summarization of Student Course Feedback. 80-85 - Prachi Jain, Mausam:
Knowledge-Guided Linguistic Rewrites for Inference Rule Verification. 86-92 - Sumit Chopra, Michael Auli, Alexander M. Rush:
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks. 93-98 - Jérémy Perret, Stergos D. Afantenos, Nicholas Asher, Mathieu Morey:
Integer Linear Programming for Discourse Parsing. 99-109 - Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan:
A Diversity-Promoting Objective Function for Neural Conversation Models. 110-119 - Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Steve J. Young:
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems. 120-129 - Dario Bertero, Pascale Fung:
A Long Short-Term Memory Framework for Predicting Humor in Dialogues. 130-135 - Justine Zhang, Ravi Kumar, Sujith Ravi, Cristian Danescu-Niculescu-Mizil:
Conversational Flow in Oxford-style Debates. 136-141 - Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Counter-fitting Word Vectors to Linguistic Constraints. 142-148 - Shaohua Yang, Qiaozi Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu, Joyce Y. Chai:
Grounded Semantic Role Labeling. 149-159 - Ekaterina Shutova, Douwe Kiela, Jean Maillard:
Black Holes and White Rabbits: Metaphor Identification with Visual Features. 160-170 - Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran:
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. 171-181 - Spandana Gella, Mirella Lapata, Frank Keller:
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings. 182-192 - Mark Yatskar, Vicente Ordonez, Ali Farhadi:
Stating the Obvious: Extracting Visual Common Sense Knowledge. 193-198 - Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith:
Recurrent Neural Network Grammars. 199-209 - Wenduan Xu, Michael Auli, Stephen Clark:
Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks. 210-220 - Mike Lewis, Kenton Lee, Luke Zettlemoyer:
LSTM CCG Parsing. 221-231 - Ashish Vaswani, Yonatan Bisk, Kenji Sagae, Ryan Musa:
Supertagging With LSTMs. 232-237 - Wencan Luo, Fan Yang:
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition. 238-248 - Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, Daniel Marcu:
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning. 249-259 - Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer:
Neural Architectures for Named Entity Recognition. 260-270 - Jinho D. Choi:
Dynamic Feature Induction: The Last Gist to the State-of-the-Art. 271-281 - Eun-Suk Yang, Young-Bum Kim, Ruhi Sarikaya, Yu-Seop Kim:
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer. 282-288 - Bishan Yang, Tom M. Mitchell:
Joint Extraction of Events and Entities within a Document Context. 289-299 - Thien Huu Nguyen, Kyunghyun Cho, Ralph Grishman:
Joint Event Extraction via Recurrent Neural Networks. 300-309 - Xingxing Zhang, Liang Lu, Mirella Lapata:
Top-down Tree Long Short-Term Memory Networks. 310-320 - Ke M. Tran, Arianna Bisazza, Christof Monz:
Recurrent Memory Networks for Language Modeling. 321-331 - Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein:
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models. 332-342 - Ekaterina Abramova, Raquel Fernández:
Questioning Arbitrariness in Language: a Data-Driven Study of Conventional Iconicity. 343-352 - Maximilian Köper, Sabine Schulte im Walde:
Distinguishing Literal and Non-Literal Usage of German Particle Verbs. 353-362 - Changsheng Liu, Rebecca Hwa:
Phrasal Substitution of Idiomatic Expressions. 363-373 - Yangtuo Peng, Hui Jiang:
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks. 374-379 - Zheng Yuan, Ted Briscoe:
Grammatical error correction using neural machine translation. 380-386 - Angeliki Lazaridou, Grzegorz Chrupala, Raquel Fernández, Marco Baroni:
Multimodal Semantic Learning from Child-Directed Input. 387-392 - Yangyang Shi, Kaisheng Yao, Hu Chen, Dong Yu, Yi-Cheng Pan, Mei-Yuh Hwang:
Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding. 393-399 - Ching-Yun Chang, Zhiyang Teng, Yue Zhang:
Expectation-Regulated Neural Model for Event Mention Extraction. 400-410 - Lemao Liu, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita:
Agreement on Target-bidirectional Neural Machine Translation. 411-416 - Codruta Gîrlea, Roxana Girju, Eyal Amir:
Psycholinguistic Features for Deceptive Role Detection in Werewolf. 417-422 - Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben:
Individual Variation in the Choice of Referential Form. 423-427 - Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. 428-434 - Gustavo Paetzold, Lucia Specia:
Inferring Psycholinguistic Properties of Words. 435-440 - Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang, Yu Hu:
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification. 441-446 - Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman:
Shift-Reduce CCG Parsing using Neural Network Models. 447-453 - Kriste Krstovski, David A. Smith, Michael J. Kurtz:
Online Multilingual Topic Models with Multi-Level Hyperpriors. 454-459 - Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
STransE: a novel embedding model of entities and relationships in knowledge bases. 460-466 - Dan Garrette, Hannah Alpert-Abrams:
An Unsupervised Model of Orthographic Variation for Historical Document Transcription. 467-472 - Abhyuday N. Jagannatha, Hong Yu:
Bidirectional RNN for Medical Event Detection in Electronic Health Records. 473-482 - Jey Han Lau, Timothy Baldwin:
The Sensitivity of Topic Coherence Evaluation to Topic Cardinality. 483-487 - Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Syntactic Linearization with Lookahead Features. 488-493 - Hyun Kim, Jong-Hyeok Lee:
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output. 494-498 - Roy Schwartz, Roi Reichart, Ari Rappoport:
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives. 499-505 - Geli Fei, Bing Liu:
Breaking the Closed World Assumption in Text Classification. 506-514 - Ji Young Lee, Franck Dernoncourt:
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks. 515-520 - Gakuto Kurata, Bing Xiang, Bowen Zhou:
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence. 521-526 - Peilu Wang, Yao Qian, Frank K. Soong, Lei He, Hai Zhao:
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network. 527-533 - Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze:
Combining Recurrent and Convolutional Neural Networks for Relation Classification. 534-539 - Liang-Chih Yu, Lung-Hao Lee, Shuai Hao, Jin Wang, Yunchao He, Jun Hu, K. Robert Lai, Xuejie Zhang:
Building Chinese Affective Resources in Valence-Arousal Dimensions. 540-545 - Simon Ahrendt, Vera Demberg:
Improving event prediction by representing script participants. 546-551 - Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer:
Structured Prediction with Output Embeddings for Semantic Image Annotation. 552-557 - Kashif Shah, Lucia Specia:
Large-scale Multitask Learning for Machine Translation Quality Estimation. 558-567 - Vlad Niculae, Cristian Danescu-Niculescu-Mizil:
Conversational Markers of Constructive Discussions. 568-578 - Luana Bulat, Douwe Kiela, Stephen Clark:
Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps. 579-588 - Chen-Tse Tsai, Dan Roth:
Cross-lingual Wikification Using Multilingual Embeddings. 589-598 - Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz:
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks. 599-605 - Jayant Krishnamurthy:
Probabilistic Models for Learning a Semantic Parser Lexicon. 606-616 - Martin Riedl, Chris Biemann:
Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods. 617-622 - Pushpendre Rastogi, Ryan Cotterell, Jason Eisner:
Weighting Finite-State Transductions With Neural Context. 623-633 - Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer:
Morphological Inflection Generation Using Character Sequence to Sequence Learning. 634-643 - Patrick Ziering, Lonneke van der Plas:
Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations. 644-653 - Aaron Jaech, Rik Koncel-Kedziorski, Mari Ostendorf:
Phonological Pun-derstanding. 654-663 - Ryan Cotterell, Tim Vieira, Hinrich Schütze:
A Joint Model of Orthography and Morphological Segmentation. 664-669 - Yuval Pinter, Roi Reichart, Idan Szpektor:
Syntactic Parsing of Web Queries with Question Intent. 670-680 - Jiwei Li, Xinlei Chen, Eduard H. Hovy, Dan Jurafsky:
Visualizing and Understanding Neural Models in NLP. 681-691 - Aditya Mogadala, Achim Rettinger:
Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification. 692-702 - Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Joint Learning with Global Inference for Comment Classification in Community Question Answering. 703-713 - Aldrian Obaja Muis, Wei Lu:
Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text. 714-719 - Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. 720-730 - Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell:
Generation from Abstract Meaning Representation using Tree Transducers. 731-739 - Carolin Haas, Stefan Riezler:
A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap. 740-750 - Yonatan Bisk, Deniz Yuret, Daniel Marcu:
Natural Language Communication with Robots. 751-761 - Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari:
Inter-document Contextual Language model. 762-766 - Sascha Rothe, Sebastian Ebert, Hinrich Schütze:
Ultradense Word Embeddings by Orthogonal Transformation. 767-777 - Michael Wiegand, Marc Schulder, Josef Ruppenhofer:
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features. 778-788 - Lu Chen, Justin Martineau, Doreen Cheng, Amit P. Sheth:
Clustering for Simultaneous Extraction of Aspects and Features from Reviews. 789-799 - Michael Wiegand, Christine Bocionek, Josef Ruppenhofer:
Opinion Holder and Target Extraction on Opinion Compounds - A Linguistic Approach. 800-810 - Svetlana Kiritchenko, Saif M. Mohammad:
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling. 811-817 - Derry Tanti Wijaya, Tom M. Mitchell:
Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua. 818-827 - Heike Adel, Benjamin Roth, Hinrich Schütze:
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling. 828-838 - Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen:
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories. 839-849 - Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui:
Dynamic Entity Representation with Max-pooling Improves Machine Reading. 850-855 - Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne:
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. 856-865 - Orhan Firat, Kyunghyun Cho, Yoshua Bengio:
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism. 866-875 - Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari:
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model. 876-885 - Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum:
Multilingual Relation Extraction using Compositional Universal Schema. 886-896 - Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H. Lin, Xiao Ling, Daniel S. Weld:
Effective Crowd Annotation for Relation Extraction. 897-906 - Hee-Geun Yoon, Hyun-Je Song, Seong-Bae Park, Se-Young Park:
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations. 907-916 - Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo:
DAG-Structured Long Short-Term Memory for Semantic Compositionality. 917-926 - Md. Arafat Sultan, Jordan L. Boyd-Graber, Tamara Sumner:
Bayesian Supervised Domain Adaptation for Short Text Similarity. 927-936 - Hua He, Jimmy Lin:
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement. 937-948 - Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird, Trevor Cohn:
An Attentional Model for Speech Translation Without Transcription. 949-959 - Raphael Rubino, Ekaterina Lapshinova-Koltunski, Josef van Genabith:
Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification. 960-970 - He He, Jordan L. Boyd-Graber, Hal Daumé III:
Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation. 971-976 - Yiming Cui, Shijin Wang, Jianfeng Li:
LSTM Neural Reordering Feature for Statistical Machine Translation. 977-982 - Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way, Qun Liu:
A Novel Approach to Dropped Pronoun Translation. 983-993 - Sam Wiseman, Alexander M. Rush, Stuart M. Shieber:
Learning Global Features for Coreference Resolution. 994-1004 - Nafise Sadat Moosavi, Michael Strube:
Search Space Pruning: A Simple Solution for Better Coreference Resolvers. 1005-1011 - Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy:
Unsupervised Ranking Model for Entity Coreference Resolution. 1012-1018 - Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley:
Embedding Lexical Features via Low-Rank Tensors. 1019-1029 - Oren Melamud, David McClosky, Siddharth Patwardhan, Mohit Bansal:
The Role of Context Types and Dimensionality in Learning Word Embeddings. 1030-1040 - Jian Xu, Jiawei Liu, Liangang Zhang, Zhengyu Li, Huanhuan Chen:
Improve Chinese Word Embeddings by Exploiting Internal Structure. 1041-1050 - Bharat Ram Ambati, Siva Reddy, Mark Steedman:
Assessing Relative Sentence Complexity using an Incremental CCG Parser. 1051-1057 - Ophélie Lacroix, Lauriane Aufrant, Guillaume Wisniewski, François Yvon:
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing. 1058-1063 - Mark Dredze, Miles Osborne, Prabhanjan Kambadur:
Geolocation for Twitter: Timing Matters. 1064-1069 - Md. Arafat Sultan, Cristobal Salazar, Tamara Sumner:
Fast and Easy Short Answer Grading with High Accuracy. 1070-1075 - Ye Kyaw Thu, Andrew M. Finch, Eiichiro Sumita:
Interlocking Phrases in Phrase-based Statistical Machine Translation. 1076-1081 - Hassan Sajjad, Francisco Guzmán, Nadir Durrani, Ahmed Abdelali, Houda Bouamor, Irina P. Temnikova, Stephan Vogel:
Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement. 1082-1088 - Tianxiao Shen, Tao Lei, Regina Barzilay:
Making Dependency Labeling Simple, Fast and Accurate. 1089-1094 - Matthieu Constant, Joseph Le Roux, Nadi Tomeh:
Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework. 1095-1101 - Svetlana Kiritchenko, Saif M. Mohammad:
Sentiment Composition of Words with Opposing Polarities. 1102-1108 - Simone Filice, Alessandro Moschitti:
Learning to Recognize Ancillary Information for Automatic Paraphrase Identification. 1109-1114 - Anna Jørgensen, Dirk Hovy, Anders Søgaard:
Learning a POS tagger for AAVE-like language. 1115-1120 - Stephen Roller, Katrin Erk:
PIC a Different Word: A Simple Model for Lexical Substitution in Context. 1121-1126 - Kriste Krstovski, David A. Smith:
Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora. 1127-1132 - Tomoya Mizumoto, Yuji Matsumoto:
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation. 1133-1138 - Kyle Booten, Marti A. Hearst:
Patterns of Wisdom: Discourse-Level Style in Multi-Sentence Quotations. 1139-1144 - Jun Suzuki, Masaaki Nagata:
Right-truncatable Neural Word Embeddings. 1145-1151 - Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, Hannaneh Hajishirzi:
MAWPS: A Math Word Problem Repository. 1152-1157 - Hao Li, Heng Ji:
Cross-genre Event Extraction with Knowledge Enrichment. 1158-1162 - William Ferreira, Andreas Vlachos:
Emergent: a novel data-set for stance classification. 1163-1168 - Jon Dehdari, Liling Tan, Josef van Genabith:
BIRA: Improved Predictive Exchange Word Clustering. 1169-1174 - Mohammad Salameh, Colin Cherry, Grzegorz Kondrak:
Integrating Morphological Desegmentation into Phrase-based Decoding. 1175-1180 - Junyi Jessy Li, Ani Nenkova:
The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection. 1181-1186 - Yogarshi Vyas, Marine Carpuat:
Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment. 1187-1197 - Davy Weissenbacher, Travis A. Johnson, Laura Wojtulewicz, Amylou Dueck, Dona Locke, Richard J. Caselli, Graciela Gonzalez:
Automatic Prediction of Linguistic Decline in Writings of Subjects with Degenerative Dementia. 1198-1207 - Miguel E. Rodríguez, Sean Goldberg, Daisy Zhe Wang:
Consensus Maximization Fusion of Probabilistic Information Extractors. 1208-1216 - Barret Zoph, Ashish Vaswani, Jonathan May, Kevin Knight:
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies. 1217-1222 - Ashequl Qadir, Ellen Riloff, Marilyn A. Walker:
Automatically Inferring Implicit Properties in Similes. 1223-1232 - Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. 1233-1239 - Shanbo Cheng, Shujian Huang, Huadong Chen, Xinyu Dai, Jiajun Chen:
PRIMT: A Pick-Revise Framework for Interactive Machine Translation. 1240-1249 - Cong Duy Vu Hoang, Trevor Cohn, Gholamreza Haffari:
Incorporating Side Information into Recurrent Neural Network Language Models. 1250-1255 - Matthew Francis-Landau, Greg Durrett, Dan Klein:
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. 1256-1261 - Thuy Vu, Douglas Stott Parker:
$K$-Embeddings: Learning Conceptual Embeddings for Words using Context. 1262-1267 - Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti:
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking. 1268-1278 - Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi S. Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, Lluís Màrquez:
Semi-supervised Question Retrieval with Gated Convolutions. 1279-1289 - Dasha Bogdanova, Jennifer Foster:
This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering. 1290-1295 - Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya:
Multilingual Language Processing From Bytes. 1296-1306 - Yuan Zhang, David Gaddy, Regina Barzilay, Tommi S. Jaakkola:
Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings. 1307-1317 - Yi Yang, Jacob Eisenstein:
Part-of-Speech Tagging for Historical English. 1318-1328 - Yugo Murawaki:
Statistical Modeling of Creole Genesis. 1329-1339 - Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi, Dipti Misra Sharma:
Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text. 1340-1345 - Simon Suster, Ivan Titov, Gertjan van Noord:
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders. 1346-1356 - Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer:
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. 1357-1366 - Felix Hill, Kyunghyun Cho, Anna Korhonen:
Learning Distributed Representations of Sentences from Unlabelled Data. 1367-1377 - Allyson Ettinger, Philip Resnik, Marine Carpuat:
Retrofitting Sense-Specific Word Vectors Using Parallel Text. 1378-1383 - Isaac Persing, Vincent Ng:
End-to-End Argumentation Mining in Student Essays. 1384-1394 - Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, Benno Stein:
Cross-Domain Mining of Argumentative Text through Distant Supervision. 1395-1404 - Amparo Elizabeth Cano Basave, Yulan He:
A Study of the Impact of Persuasive Argumentation in Political Debates. 1405-1413 - Mohsen Mesgar, Michael Strube:
Lexical Coherence Graph Modeling Using Word Embeddings. 1414-1423 - Fan Zhang, Diane J. Litman:
Using Context to Predict the Purpose of Argumentative Writing Revisions. 1424-1430 - Eduardo Blanco, Zahra Sarabi:
Automatic Generation and Scoring of Positive Interpretations from Negated Statements. 1431-1441 - Shuohang Wang, Jing Jiang:
Learning Natural Language Inference with LSTM. 1442-1451 - Ashequl Qadir, Michael Gamon, Patrick Pantel, Ahmed Hassan Awadallah:
Activity Modeling in Email. 1452-1462 - Anne Cocos, Chris Callison-Burch:
Clustering Paraphrases by Word Sense. 1463-1472 - Niko Schenk, Christian Chiarcos:
Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling. 1473-1479 - Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, Eduard H. Hovy:
Hierarchical Attention Networks for Document Classification. 1480-1489 - Alexandros Komninos, Suresh Manandhar:
Dependency Based Embeddings for Sentence Classification Tasks. 1490-1500 - Yangyang Shi, Kaisheng Yao, Le Tian, Daxin Jiang:
Deep LSTM based Feature Mapping for Query Classification. 1501-1511 - Rui Zhang, Honglak Lee, Dragomir R. Radev:
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents. 1512-1521 - Ye Zhang, Stephen Roller, Byron C. Wallace:
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification. 1522-1527 - Sigrid Klerke, Yoav Goldberg, Anders Søgaard:
Improving sentence compression by learning to predict gaze. 1528-1533 - Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III:
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. 1534-1544 - Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein:
Learning to Compose Neural Networks for Question Answering. 1545-1554
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