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ORCID54th ACL 2016: Berlin, Germany
- Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers. The Association for Computer Linguistics 2016, ISBN 978-1-945626-00-5
- James Goodman, Andreas Vlachos
, Jason Naradowsky:
Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing. - Robin Jia, Percy Liang:
Data Recombination for Neural Semantic Parsing. - Panupong Pasupat, Percy Liang:
Inferring Logical Forms From Denotations. - Li Dong, Mirella Lapata:
Language to Logical Form with Neural Attention. - Dian Yu, Heng Ji:
Unsupervised Person Slot Filling based on Graph Mining. - Di Lu, Xiaoman Pan, Nima Pourdamghani, Shih-Fu Chang, Heng Ji, Kevin Knight:
A Multi-media Approach to Cross-lingual Entity Knowledge Transfer. - Joern Wuebker, Spence Green, John DeNero, Sasa Hasan, Minh-Thang Luong:
Models and Inference for Prefix-Constrained Machine Translation. - Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li:
Modeling Coverage for Neural Machine Translation. - Rico Sennrich, Barry Haddow, Alexandra Birch:
Improving Neural Machine Translation Models with Monolingual Data. - Liangyou Li, Andy Way, Qun Liu:
Graph-Based Translation Via Graph Segmentation. - Lanbo She, Joyce Yue Chai:
Incremental Acquisition of Verb Hypothesis Space towards Physical World Interaction. - Gerold Hintz, Chris Biemann:
Language Transfer Learning for Supervised Lexical Substitution. - Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, Chris Dyer:
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. - Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio:
Pointing the Unknown Words. - Bernd Bohnet, Ryan T. McDonald, Emily Pitler, Ji Ma:
Generalized Transition-based Dependency Parsing via Control Parameters. - Matthieu Constant, Joakim Nivre:
A Transition-Based System for Joint Lexical and Syntactic Analysis. - Maximin Coavoux, Benoît Crabbé:
Neural Greedy Constituent Parsing with Dynamic Oracles. - E. Dario Gutiérrez, Ekaterina Shutova, Tyler Marghetis, Benjamin Bergen:
Literal and Metaphorical Senses in Compositional Distributional Semantic Models. - Giancarlo D. Salton, Robert J. Ross, John D. Kelleher:
Idiom Token Classification using Sentential Distributed Semantics. - Kazuma Hashimoto, Yoshimasa Tsuruoka:
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings. - Hyeju Jang, Yohan Jo, Qinlan Shen, Michael Miller, Seungwhan Moon, Carolyn P. Rosé:
Metaphor Detection with Topic Transition, Emotion and Cognition in Context. - Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin:
Compressing Neural Language Models by Sparse Word Representations. - Yadollah Yaghoobzadeh, Hinrich Schütze:
Intrinsic Subspace Evaluation of Word Embedding Representations. - Ivan Vulic, Anna Korhonen:
On the Role of Seed Lexicons in Learning Bilingual Word Embeddings. - Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, Avirup Sil:
Liberal Event Extraction and Event Schema Induction. - Deyu Zhou, Tianmeng Gao, Yulan He:
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling. - Karl Pichotta, Raymond J. Mooney:
Using Sentence-Level LSTM Language Models for Script Inference. - Haoruo Peng, Dan Roth:
Two Discourse Driven Language Models for Semantics. - Fangzhao Wu, Yongfeng Huang:
Sentiment Domain Adaptation with Multiple Sources. - Hannah Rashkin, Sameer Singh, Yejin Choi:
Connotation Frames: A Data-Driven Investigation. - Guangyou Zhou, Zhiwen Xie, Jimmy Xiangji Huang, Tingting He:
Bi-Transferring Deep Neural Networks for Domain Adaptation. - Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer, Yejin Choi:
Document-level Sentiment Inference with Social, Faction, and Discourse Context. - Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang:
Active Learning for Dependency Parsing with Partial Annotation. - Caio Corro, Joseph Le Roux, Mathieu Lacroix, Antoine Rozenknop, Roberto Wolfler Calvo:
Dependency Parsing with Bounded Block Degree and Well-nestedness via Lagrangian Relaxation and Branch-and-Bound. - Fernando Diaz, Bhaskar Mitra, Nick Craswell:
Query Expansion with Locally-Trained Word Embeddings. - Arpita Das, Harish Yenala, Manoj Kumar Chinnakotla, Manish Shrivastava:
Together we stand: Siamese Networks for Similar Question Retrieval. - Hao Peng, Jing Liu, Chin-Yew Lin:
News Citation Recommendation with Implicit and Explicit Semantics. - Aliya Deri, Kevin Knight:
Grapheme-to-Phoneme Models for (Almost) Any Language. - Deng Cai, Hai Zhao:
Neural Word Segmentation Learning for Chinese. - Meishan Zhang, Yue Zhang, Guohong Fu:
Transition-Based Neural Word Segmentation. - Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman:
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. - Gabor Angeli, Neha Nayak, Christopher D. Manning:
Combining Natural Logic and Shallow Reasoning for Question Answering. - Mrinmaya Sachan, Eric P. Xing:
Easy Questions First? A Case Study on Curriculum Learning for Question Answering. - Ming Tan, Cícero Nogueira dos Santos, Bing Xiang, Bowen Zhou:
Improved Representation Learning for Question Answer Matching. - Sujay Kumar Jauhar, Peter D. Turney, Eduard H. Hovy:
Tables as Semi-structured Knowledge for Question Answering. - Jianpeng Cheng, Mirella Lapata:
Neural Summarization by Extracting Sentences and Words. - Federico Fancellu, Adam Lopez, Bonnie L. Webber:
Neural Networks For Negation Scope Detection. - Yashen Wang, Heyan Huang, Chong Feng, Qiang Zhou, Jiahui Gu, Xiong Gao:
CSE: Conceptual Sentence Embeddings based on Attention Model. - Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li, Jianshe Zhou:
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents. - Gabriel Doyle, Michael C. Frank:
Investigating the Sources of Linguistic Alignment in Conversation. - Yang Xu, David Reitter:
Entropy Converges Between Dialogue Participants: Explanations from an Information-Theoretic Perspective. - Sabine Janzen, Wolfgang Maass, Tobias Kowatsch:
Finding the Middle Ground - A Model for Planning Satisficing Answers. - Biao Liu, Minlie Huang:
A Sentence Interaction Network for Modeling Dependence between Sentences. - Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben:
Towards more variation in text generation: Developing and evaluating variation models for choice of referential form. - Arun Tejasvi Chaganty, Percy Liang:
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions. - Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, Yoshua Bengio:
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. - Wang Ling, Phil Blunsom, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Fumin Wang, Andrew W. Senior:
Latent Predictor Networks for Code Generation. - Sina Zarrieß, David Schlangen:
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs. - Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira:
Collective Entity Resolution with Multi-Focal Attention. - Nafise Sadat Moosavi, Michael Strube:
Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric. - Kevin Clark, Christopher D. Manning:
Improving Coreference Resolution by Learning Entity-Level Distributed Representations. - Catherine Finegan-Dollak, Reed Coke, Rui Zhang, Xiangyi Ye, Dragomir R. Radev:
Effects of Creativity and Cluster Tightness on Short Text Clustering Performance. - Shaohua Li, Tat-Seng Chua, Jun Zhu, Chunyan Miao:
Generative Topic Embedding: a Continuous Representation of Documents. - Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Detecting Common Discussion Topics Across Culture From News Reader Comments. - Weiwei Yang, Jordan L. Boyd-Graber, Philip Resnik:
A Discriminative Topic Model using Document Network Structure. - Nora Al-Twairesh, Hend Suliman Al-Khalifa, AbdulMalik S. Al-Salman:
AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons. - Khaled Aldebei, Xiangjian He, Wenjing Jia, Jie Yang:
Unsupervised Multi-Author Document Decomposition Based on Hidden Markov Model. - Dimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei:
Automatic Text Scoring Using Neural Networks. - Islam Beltagy, Chris Quirk:
Improved Semantic Parsers For If-Then Statements. - Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza, Boris Katz:
Universal Dependencies for Learner English. - Joachim Bingel, Maria Barrett, Anders Søgaard:
Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction. - Rui Cai, Xiaodong Zhang, Houfeng Wang:
Bidirectional Recurrent Convolutional Neural Network for Relation Classification. - Bo Chen, Le Sun, Xianpei Han, Bo An:
Sentence Rewriting for Semantic Parsing. - Chen Chen, Vincent Ng:
Chinese Zero Pronoun Resolution with Deep Neural Networks. - Ronan Cummins, Meng Zhang, Ted Briscoe:
Constrained Multi-Task Learning for Automated Essay Scoring. - Zihang Dai, Lei Li, Wei Xu:
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases. - Judith Eckle-Kohler:
Verbs Taking Clausal and Non-Finite Arguments as Signals of Modality - Revisiting the Issue of Meaning Grounded in Syntax. - Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Tree-to-Sequence Attentional Neural Machine Translation. - Jessica Ficler, Yoav Goldberg:
Coordination Annotation Extension in the Penn Tree Bank. - Lucie Flekova, Jordan Carpenter, Salvatore Giorgi, Lyle H. Ungar, Daniel Preotiuc-Pietro:
Analyzing Biases in Human Perception of User Age and Gender from Text. - Lin Gong, Mohammad Al Boni, Hongning Wang:
Modeling Social Norms Evolution for Personalized Sentiment Classification. - Jonathan Gordon, Linhong Zhu, Aram Galstyan, Prem Natarajan, Gully Burns:
Modeling Concept Dependencies in a Scientific Corpus. - Kenneth Heafield, Chase Geigle, Sean Massung, Lane Schwartz:
Normalized Log-Linear Interpolation of Backoff Language Models is Efficient. - Danqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin, Wei-Ying Ma:
How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation. - Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli:
Embeddings for Word Sense Disambiguation: An Evaluation Study. - Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, Jan Kleindienst:
Text Understanding with the Attention Sum Reader Network. - Arzoo Katiyar, Claire Cardie:
Investigating LSTMs for Joint Extraction of Opinion Entities and Relations. - Yoshihide Kato, Shigeki Matsubara:
Transition-Based Left-Corner Parsing for Identifying PTB-Style Nonlocal Dependencies. - Tom Kenter, Alexey Borisov, Maarten de Rijke:
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations. - Fereshte Khani, Martin C. Rinard, Percy Liang:
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. - Seokhwan Kim, Rafael E. Banchs, Haizhou Li:
Exploring Convolutional and Recurrent Neural Networks in Sequential Labelling for Dialogue Topic Tracking. - Ekaterina Kochmar, Ekaterina Shutova:
Cross-Lingual Lexico-Semantic Transfer in Language Learning. - John Lee, Donald Sturgeon, Mengqi Luo:
A CALL System for Learning Preposition Usage. - Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, William B. Dolan:
A Persona-Based Neural Conversation Model. - Juzheng Li, Jun Zhu, Bo Zhang:
Discriminative Deep Random Walk for Network Classification. - Nut Limsopatham, Nigel Collier:
Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation. - Chunyang Liu, Yang Liu, Maosong Sun, Huan-Bo Luan, Heng Yu:
Agreement-based Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora. - Pengfei Liu, Xipeng Qiu, Jifan Chen, Xuanjing Huang:
Deep Fusion LSTMs for Text Semantic Matching. - Tong Liu, Christopher Homan, Cecilia Ovesdotter Alm, Megan C. Lytle, Ann Marie White, Henry A. Kautz:
Understanding Discourse on Work and Job-Related Well-Being in Public Social Media. - Minh-Thang Luong, Christopher D. Manning:
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. - Xuezhe Ma, Eduard H. Hovy:
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF. - Andrey Malinin, Rogier C. van Dalen, Kate Knill, Yu Wang, Mark J. F. Gales:
Off-topic Response Detection for Spontaneous Spoken English Assessment. - Austin Matthews, Eva Schlinger, Alon Lavie, Chris Dyer:
Synthesizing Compound Words for Machine Translation. - Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya:
Harnessing Cognitive Features for Sarcasm Detection. - Makoto Miwa, Mohit Bansal:
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures. - Mark-Jan Nederhof:
A short proof that O_2 is an MCFL. - Huy Nguyen, Diane J. Litman:
Context-aware Argumentative Relation Mining. - Garrett Nicolai, Grzegorz Kondrak:
Leveraging Inflection Tables for Stemming and Lemmatization. - Jonathan Pfeil, Soumya Ray:
Scaling a Natural Language Generation System. - Forough Poursabzi-Sangdeh, Jordan L. Boyd-Graber, Leah Findlater, Kevin D. Seppi:
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling. - Vinodkumar Prabhakaran, William L. Hamilton, Daniel A. McFarland, Dan Jurafsky:
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. - Marek Rei, Helen Yannakoudakis:
Compositional Sequence Labeling Models for Error Detection in Learner Writing. - Michael Roth, Mirella Lapata:
Neural Semantic Role Labeling with Dependency Path Embeddings. - Shumpei Sano, Nobuhiro Kaji, Manabu Sassano:
Prediction of Prospective User Engagement with Intelligent Assistants. - David Schlangen, Sina Zarrieß, Casey Kennington:
Resolving References to Objects in Photographs using the Words-As-Classifiers Model. - Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui:
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. - Tomohide Shibata, Daisuke Kawahara, Sadao Kurohashi:
Neural Network-Based Model for Japanese Predicate Argument Structure Analysis. - Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan:
Addressing Limited Data for Textual Entailment Across Domains. - Gabriel Stanovsky, Ido Dagan:
Annotating and Predicting Non-Restrictive Noun Phrase Modifications. - Akihiro Tamura, Eiichiro Sumita:
Bilingual Segmented Topic Model. - Ran Tian, Naoaki Okazaki, Kentaro Inui:
Learning Semantically and Additively Compositional Distributional Representations. - Bingning Wang, Kang Liu, Jun Zhao:
Inner Attention based Recurrent Neural Networks for Answer Selection. - Linlin Wang, Zhu Cao, Gerard de Melo, Zhiyuan Liu:
Relation Classification via Multi-Level Attention CNNs. - Quan Wang, Jing Liu, Yuanfei Luo, Bin Wang, Chin-Yew Lin:
Knowledge Base Completion via Coupled Path Ranking. - Tian Wang, Kyunghyun Cho:
Larger-Context Language Modelling with Recurrent Neural Network. - Shomir Wilson, Florian Schaub, Aswarth Abhilash Dara, Frederick Liu, Sushain Cherivirala, Pedro Giovanni Leon, Mads Schaarup Andersen, Sebastian Zimmeck, Kanthashree Mysore Sathyendra, N. Cameron Russell, Thomas B. Norton, Eduard H. Hovy, Joel R. Reidenberg, Norman M. Sadeh:
The Creation and Analysis of a Website Privacy Policy Corpus. - Chunyang Xiao, Marc Dymetman, Claire Gardent:
Sequence-based Structured Prediction for Semantic Parsing. - Wenpeng Yin, Hinrich Schütze:
Learning Word Meta-Embeddings. - Jianmin Zhang, Jin-ge Yao, Xiaojun Wan:
Towards Constructing Sports News from Live Text Commentary.