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ORCID55th ACL 2017: Vancouver, Canada
- Regina Barzilay, Min-Yen Kan:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers. Association for Computational Linguistics 2017, ISBN 978-1-945626-75-3 - Pengfei Liu, Xipeng Qiu
, Xuanjing Huang:
Adversarial Multi-task Learning for Text Classification. 1-10 - Steffen Eger, Johannes Daxenberger, Iryna Gurevych:
Neural End-to-End Learning for Computational Argumentation Mining. 11-22 - Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao:
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. 23-33 - Yankai Lin, Zhiyuan Liu, Maosong Sun:
Neural Relation Extraction with Multi-lingual Attention. 34-43 - Jianpeng Cheng, Siva Reddy, Vijay A. Saraswat, Mirella Lapata:
Learning Structured Natural Language Representations for Semantic Parsing. 44-55 - Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen:
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. 56-68 - Alex Gittens, Dimitris Achlioptas, Michael W. Mahoney:
Skip-Gram - Zipf + Uniform = Vector Additivity. 69-76 - Omri Abend, Ari Rappoport:
The State of the Art in Semantic Representation. 77-89 - Jing Lu, Vincent Ng:
Joint Learning for Event Coreference Resolution. 90-101 - Ting Liu, Yiming Cui, Qingyu Yin, Weinan Zhang, Shijin Wang, Guoping Hu:
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. 102-111 - Wei Song, Dong Wang, Ruiji Fu, Lizhen Liu, Ting Liu, Guoping Hu:
Discourse Mode Identification in Essays. 112-122 - Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin:
A Convolutional Encoder Model for Neural Machine Translation. 123-135 - Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu:
Deep Neural Machine Translation with Linear Associative Unit. 136-145 - Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer:
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. 146-157 - Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom:
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. 158-167 - Jack Hopkins, Douwe Kiela:
Automatically Generating Rhythmic Verse with Neural Networks. 168-178 - Claire Gardent, Anastasia Shimorina, Shashi Narayan, Laura Perez-Beltrachini:
Creating Training Corpora for NLG Micro-Planners. 179-188 - Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, Ming Zhou:
Gated Self-Matching Networks for Reading Comprehension and Question Answering. 189-198 - Shizhu He, Cao Liu, Kang Liu, Jun Zhao:
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning. 199-208 - Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant:
Coarse-to-Fine Question Answering for Long Documents. 209-220 - Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao:
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. 221-231 - Jacob Andreas, Anca D. Dragan, Dan Klein:
Translating Neuralese. 232-242 - Sina Zarrieß, David Schlangen:
Obtaining referential word meanings from visual and distributional information: Experiments on object naming. 243-254 - Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi:
FOIL it! Find One mismatch between Image and Language caption. 255-265 - Maxwell Forbes, Yejin Choi:
Verb Physics: Relative Physical Knowledge of Actions and Objects. 266-276 - Masashi Yoshikawa, Hiroshi Noji, Yuji Matsumoto:
A* CCG Parsing with a Supertag and Dependency Factored Model. 277-287 - Daniel Fernández-González, Carlos Gómez-Rodríguez:
A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing. 288-298 - An Thanh Nguyen, Byron C. Wallace, Junyi Jessy Li, Ani Nenkova, Matthew Lease:
Aggregating and Predicting Sequence Labels from Crowd Annotations. 299-309 - Chunting Zhou, Graham Neubig:
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction. 310-320 - Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin:
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. 321-331 - Marcel Bollmann, Joachim Bingel, Anders Søgaard:
Learning attention for historical text normalization by learning to pronounce. 332-344 - Danilo Croce, Simone Filice, Giuseppe Castellucci, Roberto Basili:
Deep Learning in Semantic Kernel Spaces. 345-354 - Jey Han Lau, Timothy Baldwin, Trevor Cohn:
Topically Driven Neural Language Model. 355-365 - Xuepeng Wang, Kang Liu, Jun Zhao:
Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors. 366-376 - Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya:
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network. 377-387 - Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
An Unsupervised Neural Attention Model for Aspect Extraction. 388-397 - Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki, Kentaro Inui:
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. 398-408 - Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, Jun Zhao:
Automatically Labeled Data Generation for Large Scale Event Extraction. 409-419 - Xiaoshi Zhong, Aixin Sun, Erik Cambria:
Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules. 420-429 - Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan, Dongyan Zhao:
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix. 430-439 - Pengcheng Yin, Graham Neubig:
A Syntactic Neural Model for General-Purpose Code Generation. 440-450 - Mikel Artetxe, Gorka Labaka, Eneko Agirre:
Learning bilingual word embeddings with (almost) no bilingual data. 451-462 - William Foland, James H. Martin:
Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks. 463-472 - Luheng He, Kenton Lee, Mike Lewis, Luke Zettlemoyer:
Deep Semantic Role Labeling: What Works and What's Next. 473-483 - Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng:
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access. 484-495 - Yu Wu, Wei Wu, Chen Xing, Ming Zhou, Zhoujun Li:
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots. 496-505 - David Harwath, James R. Glass:
Learning Word-Like Units from Joint Audio-Visual Analysis. 506-517 - Takaaki Hori, Shinji Watanabe, John R. Hershey:
Joint CTC/attention decoding for end-to-end speech recognition. 518-529 - Ella Rabinovich, Noam Ordan, Shuly Wintner:
Found in Translation: Reconstructing Phylogenetic Language Trees from Translations. 530-540 - Yevgeni Berzak, Chie Nakamura, Suzanne Flynn, Boris Katz:
Predicting Native Language from Gaze. 541-551 - Tarek Sakakini, Suma Bhat, Pramod Viswanath:
MORSE: Semantic-ally Drive-n MORpheme SEgment-er. 552-561 - Rie Johnson, Tong Zhang:
Deep Pyramid Convolutional Neural Networks for Text Categorization. 562-570 - Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Neural Relation Detection for Knowledge Base Question Answering. 571-581 - Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky, Yu Chi:
Deep Keyphrase Generation. 582-592 - Yiming Cui, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu, Guoping Hu:
Attention-over-Attention Neural Networks for Reading Comprehension. 593-602 - Gabriel Doyle, Amir Goldberg, Sameer Srivastava, Michael C. Frank:
Alignment at Work: Using Language to Distinguish the Internalization and Self-Regulation Components of Cultural Fit in Organizations. 603-612 - Grzegorz Chrupala, Lieke Gelderloos, Afra Alishahi:
Representations of language in a model of visually grounded speech signal. 613-622 - Yang Xu, David Reitter:
Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance. 623-633 - Sayan Ghosh, Mathieu Chollet, Eugene Laksana, Louis-Philippe Morency, Stefan Scherer:
Affect-LM: A Neural Language Model for Customizable Affective Text Generation. 634-642 - Young-Bum Kim, Karl Stratos, Dongchan Kim:
Domain Attention with an Ensemble of Experts. 643-653 - Tiancheng Zhao, Ran Zhao, Maxine Eskénazi:
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders. 654-664 - Jason D. Williams, Kavosh Asadi, Geoffrey Zweig:
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning. 665-677 - Martin Villalba, Christoph Teichmann, Alexander Koller:
Generating Contrastive Referring Expressions. 678-687 - Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou:
Modeling Source Syntax for Neural Machine Translation. 688-697 - Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li, Ming Zhou:
Sequence-to-Dependency Neural Machine Translation. 698-707 - Jing Ma, Wei Gao, Kam-Fai Wong:
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. 708-717 - Muhammad Abdul-Mageed, Lyle H. Ungar:
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks. 718-728 - Daniel Preotiuc-Pietro, Ye Liu, Daniel Hopkins, Lyle H. Ungar:
Beyond Binary Labels: Political Ideology Prediction of Twitter Users. 729-740 - Kristen Johnson, Di Jin, Dan Goldwasser:
Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. 741-752 - Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, Jianfeng Gao:
A Nested Attention Neural Hybrid Model for Grammatical Error Correction. 753-762 - Yassine Mrabet, Halil Kilicoglu, Dina Demner-Fushman:
TextFlow: A Text Similarity Measure based on Continuous Sequences. 763-772 - Chenhao Tan, Dallas Card, Noah A. Smith:
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. 773-783 - Alina Wróblewska, Katarzyna Krasnowska-Kieras:
Polish evaluation dataset for compositional distributional semantics models. 784-792 - Christopher Bryant, Mariano Felice, Ted Briscoe:
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction. 793-805 - Saku Sugawara, Yusuke Kido, Hikaru Yokono, Akiko Aizawa:
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability. 806-817 - Mitchell Stern, Jacob Andreas, Dan Klein:
A Minimal Span-Based Neural Constituency Parser. 818-827 - Weiwei Sun, Junjie Cao, Xiaojun Wan:
Semantic Dependency Parsing via Book Embedding. 828-838 - Jie Yang, Yue Zhang, Fei Dong:
Neural Word Segmentation with Rich Pretraining. 839-849 - Yusuke Oda, Philip Arthur, Graham Neubig, Koichiro Yoshino, Satoshi Nakamura:
Neural Machine Translation via Binary Code Prediction. 850-860 - Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass:
What do Neural Machine Translation Models Learn about Morphology? 861-872 - Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency:
Context-Dependent Sentiment Analysis in User-Generated Videos. 873-883 - Umashanthi Pavalanathan, Jim Fitzpatrick, Scott F. Kiesling, Jacob Eisenstein:
A Multidimensional Lexicon for Interpersonal Stancetaking. 884-895 - Jeffrey Lund, Connor Cook, Kevin D. Seppi, Jordan L. Boyd-Graber:
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling. 896-905 - Omid Bakhshandeh, James F. Allen:
Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task. 906-916 - Arzoo Katiyar, Claire Cardie:
Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees. 917-928 - Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning:
Naturalizing a Programming Language via Interactive Learning. 929-938 - João Sedoc, Jean Gallier, Dean P. Foster, Lyle H. Ungar:
Semantic Word Clusters Using Signed Spectral Clustering. 939-949 - Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy:
An Interpretable Knowledge Transfer Model for Knowledge Base Completion. 950-962 - Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer:
Learning a Neural Semantic Parser from User Feedback. 963-973 - Kechen Qin, Lu Wang, Joseph Kim:
Joint Modeling of Content and Discourse Relations in Dialogues. 974-984 - Vlad Niculae, Joonsuk Park, Claire Cardie:
Argument Mining with Structured SVMs and RNNs. 985-995 - Yangfeng Ji, Noah A. Smith:
Neural Discourse Structure for Text Categorization. 996-1005 - Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing:
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. 1006-1017 - Iryna Haponchyk, Alessandro Moschitti:
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures. 1018-1028 - Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner:
Bayesian Modeling of Lexical Resources for Low-Resource Settings. 1029-1039 - Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen:
Semi-Supervised QA with Generative Domain-Adaptive Nets. 1040-1050 - Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang:
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. 1051-1062 - Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran:
Diversity driven attention model for query-based abstractive summarization. 1063-1072 - Abigail See, Peter J. Liu, Christopher D. Manning:
Get To The Point: Summarization with Pointer-Generator Networks. 1073-1083 - Maxime Peyrard, Judith Eckle-Kohler:
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization. 1084-1094 - Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou:
Selective Encoding for Abstractive Sentence Summarization. 1095-1104 - Corina Florescu, Cornelia Caragea:
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents. 1105-1115 - Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau:
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. 1116-1126 - Daniel Hershcovich, Omri Abend, Ari Rappoport:
A Transition-Based Directed Acyclic Graph Parser for UCCA. 1127-1138 - Maxim Rabinovich, Mitchell Stern, Dan Klein:
Abstract Syntax Networks for Code Generation and Semantic Parsing. 1139-1149 - Yanzhuo Ding, Yang Liu, Huanbo Luan, Maosong Sun:
Visualizing and Understanding Neural Machine Translation. 1150-1159 - Ines Rehbein, Josef Ruppenhofer:
Detecting annotation noise in automatically labelled data. 1160-1170 - Jiwei Tan, Xiaojun Wan, Jianguo Xiao:
Abstractive Document Summarization with a Graph-Based Attentional Neural Model. 1171-1181 - Ryan Cotterell, Jason Eisner:
Probabilistic Typology: Deep Generative Models of Vowel Inventories. 1182-1192 - Xinchi Chen, Zhan Shi, Xipeng Qiu, Xuanjing Huang:
Adversarial Multi-Criteria Learning for Chinese Word Segmentation. 1193-1203 - Shuhei Kurita, Daisuke Kawahara, Sadao Kurohashi:
Neural Joint Model for Transition-based Chinese Syntactic Analysis. 1204-1214 - Jan Buys, Phil Blunsom:
Robust Incremental Neural Semantic Graph Parsing. 1215-1226 - Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou, Bo Xu:
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme. 1227-1236 - Mingbin Xu, Hui Jiang, Sedtawut Watcharawittayakul:
A Local Detection Approach for Named Entity Recognition and Mention Detection. 1237-1247 - Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham, Nigel Collier:
Vancouver Welcomes You! Minimalist Location Metonymy Resolution. 1248-1259 - Yasuhide Miura, Motoki Taniguchi, Tomoki Taniguchi, Tomoko Ohkuma:
Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction. 1260-1272 - Ramakanth Pasunuru, Mohit Bansal:
Multi-Task Video Captioning with Video and Entailment Generation. 1273-1283 - Leandro Borges dos Santos, Edilson Anselmo Corrêa Júnior, Osvaldo N. Oliveira Jr., Diego R. Amancio, Leticia Lessa Mansur, Sandra M. Aluísio:
Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts. 1284-1296 - Young-Bum Kim, Karl Stratos, Dongchan Kim:
Adversarial Adaptation of Synthetic or Stale Data. 1297-1307 - Satoshi Akasaki, Nobuhiro Kaji:
Chat Detection in an Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems. 1308-1319 - Dat Tien Nguyen, Shafiq Rayhan Joty:
A Neural Local Coherence Model. 1320-1330 - Tomer Cagan, Stefan L. Frank, Reut Tsarfaty:
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG). 1331-1341 - Xinya Du, Junru Shao, Claire Cardie:
Learning to Ask: Neural Question Generation for Reading Comprehension. 1342-1352 - P. V. S. Avinesh, Christian M. Meyer:
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback. 1353-1363 - Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang, Andi Zhang:
Flexible and Creative Chinese Poetry Generation Using Neural Memory. 1364-1373 - Soichiro Murakami, Akihiko Watanabe, Akira Miyazawa, Keiichi Goshima, Toshihiko Yanase, Hiroya Takamura, Yusuke Miyao:
Learning to Generate Market Comments from Stock Prices. 1374-1384 - Liangguo Wang, Jing Jiang, Hai Leong Chieu, Chen Hui Ong, Dandan Song, Lejian Liao:
Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains. 1385-1393 - Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He:
Transductive Non-linear Learning for Chinese Hypernym Prediction. 1394-1404 - Pengtao Xie, Eric P. Xing:
A Constituent-Centric Neural Architecture for Reading Comprehension. 1405-1414 - Ruochen Xu, Yiming Yang:
Cross-lingual Distillation for Text Classification. 1415-1425 - Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh, Lawrence C. An:
Understanding and Predicting Empathic Behavior in Counseling Therapy. 1426-1435 - Bishan Yang, Tom M. Mitchell:
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. 1436-1446 - Liangming Pan, Chengjiang Li, Juanzi Li, Jie Tang:
Prerequisite Relation Learning for Concepts in MOOCs. 1447-1456 - Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du, Magdalena Wolska:
Unsupervised Text Segmentation Based on Native Language Characteristics. 1457-1469 - Jian Ni, Georgiana Dinu, Radu Florian:
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection. 1470-1480 - Abhisek Chakrabarty, Onkar Arun Pandit, Utpal Garain:
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks. 1481-1491 - Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. 1492-1502 - Julia Kreutzer, Artem Sokolov, Stefan Riezler:
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. 1503-1513 - Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun:
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization. 1514-1523 - Jinchao Zhang, Mingxuan Wang, Qun Liu, Jie Zhou:
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation. 1524-1534 - Chris Hokamp, Qun Liu:
Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search. 1535-1546 - Edmund Tong, Amir Zadeh, Cara Jones, Louis-Philippe Morency:
Combating Human Trafficking with Multimodal Deep Models. 1547-1556 - Swee Kiat Lim, Aldrian Obaja Muis, Wei Lu, Ong Chen Hui:
MalwareTextDB: A Database for Annotated Malware Articles. 1557-1567 - Fan Zhang, Homa B. Hashemi, Rebecca Hwa, Diane J. Litman:
A Corpus of Annotated Revisions for Studying Argumentative Writing. 1568-1578 - Dmitry Ustalov, Alexander Panchenko, Chris Biemann:
Automatic Induction of Synsets from a Graph of Synonyms. 1579-1590 - Hiroki Ouchi, Hiroyuki Shindo, Yuji Matsumoto:
Neural Modeling of Multi-Predicate Interactions for Japanese Predicate Argument Structure Analysis. 1591-1600 - Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer:
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. 1601-1611 - Kyle Richardson, Jonas Kuhn:
Learning Semantic Correspondences in Technical Documentation. 1612-1622 - Yixin Cao, Lifu Huang, Heng Ji, Xu Chen, Juanzi Li:
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. 1623-1633 - Lanbo She, Joyce Yue Chai:
Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication. 1634-1644 - Ben Athiwaratkun, Andrew Gordon Wilson:
Multimodal Word Distributions. 1645-1656 - Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen:
Enhanced LSTM for Natural Language Inference. 1657-1668 - Anil Ramakrishna, Victor R. Martinez, Nikolaos Malandrakis, Karan Singla, Shrikanth S. Narayanan:
Linguistic analysis of differences in portrayal of movie characters. 1669-1678 - Qiao Qian, Minlie Huang, Jinhao Lei, Xiaoyan Zhu:
Linguistically Regularized LSTM for Sentiment Classification. 1679-1689 - Lotem Peled, Roi Reichart:
Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation. 1690-1700 - Fangzhao Wu, Yongfeng Huang, Jun Yan:
Active Sentiment Domain Adaptation. 1701-1711 - Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Alexander Dür, Linda Andersson, Allan Hanbury:
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. 1712-1721 - Cunchao Tu, Han Liu, Zhiyuan Liu, Maosong Sun:
CANE: Context-Aware Network Embedding for Relation Modeling. 1722-1731 - Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang, Hai Leong Chieu:
Universal Dependencies Parsing for Colloquial Singaporean English. 1732-1744 - Anssi Yli-Jyrä, Carlos Gómez-Rodríguez:
Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing. 1745-1755 - Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power:
Semi-supervised sequence tagging with bidirectional language models. 1756-1765 - He He, Anusha Balakrishnan, Mihail Eric, Percy Liang:
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings. 1766-1776 - Nikola Mrksic, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, Steve J. Young:
Neural Belief Tracker: Data-Driven Dialogue State Tracking. 1777-1788 - Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao:
Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms. 1789-1798 - Hesam Amoualian, Wei Lu, Éric Gaussier, Georgios Balikas, Massih-Reza Amini, Marianne Clausel:
Topical Coherence in LDA-based Models through Induced Segmentation. 1799-1809 - Hai Ye, Wenhan Chao, Zhunchen Luo, Zhoujun Li:
Jointly Extracting Relations with Class Ties via Effective Deep Ranking. 1810-1820 - Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang:
Search-based Neural Structured Learning for Sequential Question Answering. 1821-1831 - Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Gated-Attention Readers for Text Comprehension. 1832-1846 - Jianbo Ye, Yanran Li, Zhaohui Wu, James Z. Wang, Wenjie Li, Jia Li:
Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering. 1847-1856 - Mohammad Taher Pilehvar, José Camacho-Collados, Roberto Navigli, Nigel Collier:
Towards a Seamless Integration of Word Senses into Downstream NLP Applications. 1857-1869 - Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes:
Reading Wikipedia to Answer Open-Domain Questions. 1870-1879 - Adams Wei Yu, Hongrae Lee, Quoc V. Le:
Learning to Skim Text. 1880-1890 - Vivek Srikumar:
An Algebra for Feature Extraction. 1891-1900 - Shonosuke Ishiwatari, Jingtao Yao, Shujie Liu, Mu Li, Ming Zhou, Naoki Yoshinaga, Masaru Kitsuregawa, Weijia Jia:
Chunk-based Decoder for Neural Machine Translation. 1901-1912 - Iacer Calixto, Qun Liu, Nick Campbell:
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation. 1913-1924 - Yun Chen, Yang Liu, Yong Cheng, Victor O. K. Li:
A Teacher-Student Framework for Zero-Resource Neural Machine Translation. 1925-1935 - Huadong Chen, Shujian Huang, David Chiang, Jiajun Chen:
Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder. 1936-1945 - Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, Heng Ji:
Cross-lingual Name Tagging and Linking for 282 Languages. 1946-1958 - Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun:
Adversarial Training for Unsupervised Bilingual Lexicon Induction. 1959-1970 - Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali, Chandra Shekhar Maddila:
Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique. 1971-1982 - Michael Bloodgood, Benjamin Strauss:
Using Global Constraints and Reranking to Improve Cognates Detection. 1983-1992 - Katharina Kann, Ryan Cotterell, Hinrich Schütze:
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. 1993-2003 - Roee Aharoni, Yoav Goldberg:
Morphological Inflection Generation with Hard Monotonic Attention. 2004-2015 - Clara Vania, Adam Lopez:
From Characters to Words to in Between: Do We Capture Morphology? 2016-2027 - Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan V. Oseledets:
Riemannian Optimization for Skip-Gram Negative Sampling. 2028-2036 - Hao Peng, Sam Thomson, Noah A. Smith:
Deep Multitask Learning for Semantic Dependency Parsing. 2037-2048 - Yilin Niu, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Improved Word Representation Learning with Sememes. 2049-2058 - Frederick Liu, Han Lu, Chieh Lo, Graham Neubig:
Learning Character-level Compositionality with Visual Features. 2059-2068 - Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui:
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. 2069-2077 - John Wieting, Kevin Gimpel:
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. 2078-2088 - Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy:
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. 2089-2098 - Ellie Pavlick, Marius Pasca:
Identifying 1950s American Jazz Musicians: Fine-Grained IsA Extraction via Modifier Composition. 2099-2109 - Junjie Cao, Sheng Huang, Weiwei Sun, Xiaojun Wan:
Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs. 2110-2120 - Marek Rei:
Semi-supervised Multitask Learning for Sequence Labeling. 2121-2130 - Takuya Matsuzaki, Takumi Ito, Hidenao Iwane, Hirokazu Anai, Noriko H. Arai:
Semantic Parsing of Pre-university Math Problems. 2131-2141
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