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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 D. 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