Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
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 Penstein 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.