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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 M. 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. - Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura:
A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation. - Zhisong Zhang, Hai Zhao, Lianhui Qin:
Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network. - Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, Xinyu Dai, Jiajun Chen:
A Search-Based Dynamic Reranking Model for Dependency Parsing. - Xinjie Zhou, Xiaojun Wan, Jianguo Xiao:
Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning. - Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie:
Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields. - Christopher Hidey, Kathy McKeown:
Identifying Causal Relations Using Parallel Wikipedia Articles. - Kristina Toutanova, Xi Victoria Lin, Wen-tau Yih, Hoifung Poon, Chris Quirk:
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. - Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel:
Commonsense Knowledge Base Completion. - Reginald Long, Panupong Pasupat, Percy Liang:
Simpler Context-Dependent Logical Forms via Model Projections. - Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, Christopher Potts:
A Fast Unified Model for Parsing and Sentence Understanding. - Peng Qian, Xipeng Qiu, Xuanjing Huang:
Investigating Language Universal and Specific Properties in Word Embeddings. - William L. Hamilton, Jure Leskovec, Dan Jurafsky:
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. - Alakananda Vempala, Eduardo Blanco:
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long. - Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy, Francis Bond:
LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. - Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández:
The LAMBADA dataset: Word prediction requiring a broad discourse context. - Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey, David Berthelot:
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia. - Shashi Narayan, Shay B. Cohen:
Optimizing Spectral Learning for Parsing. - Yuan Zhang, David Weiss:
Stack-propagation: Improved Representation Learning for Syntax. - Svitlana Volkova, Yoram Bachrach:
Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast. - Matthew Burgess, Eugenia Giraudy, Eytan Adar:
Prototype Synthesis for Model Laws. - Ivan Habernal, Iryna Gurevych:
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. - Christian Fong, Justin Grimmer:
Discovery of Treatments from Text Corpora. - Artem Sokolov, Julia Kreutzer, Christopher Lo, Stefan Riezler:
Learning Structured Predictors from Bandit Feedback for Interactive NLP. - Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with a Natural Language Action Space. - Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li:
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. - Himanshu Sharad Bhatt, Manjira Sinha, Shourya Roy:
Cross-domain Text Classification with Multiple Domains and Disparate Label Sets. - Ryan Cotterell, Hinrich Schütze, Jason Eisner:
Morphological Smoothing and Extrapolation of Word Embeddings. - Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth:
Cross-lingual Models of Word Embeddings: An Empirical Comparison. - Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin:
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. - Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu:
Minimum Risk Training for Neural Machine Translation. - Junyoung Chung, Kyunghyun Cho, Yoshua Bengio:
A Character-level Decoder without Explicit Segmentation for Neural Machine Translation. - Ales Tamchyna, Alexander M. Fraser, Ondrej Bojar, Marcin Junczys-Dowmunt:
Target-Side Context for Discriminative Models in Statistical Machine Translation. - Rico Sennrich, Barry Haddow, Alexandra Birch:
Neural Machine Translation of Rare Words with Subword Units. - Jifan Chen, Qi Zhang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network. - Christian Scheible, Roman Klinger, Sebastian Padó:
Model Architectures for Quotation Detection. - Shafiq R. Joty, Enamul Hoque:
Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured Models. - Annemarie Friedrich, Alexis Palmer, Manfred Pinkal:
Situation entity types: automatic classification of clause-level aspect. - Antoine Bosselut, Jianfu Chen, David Scott Warren, Hannaneh Hajishirzi, Yejin Choi:
Learning Prototypical Event Structure from Photo Albums. - Takashi Miyazaki, Nobuyuki Shimizu:
Cross-Lingual Image Caption Generation. - Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. - Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. - Qiaozi Gao, Malcolm Doering, Shaohua Yang, Joyce Yue Chai:
Physical Causality of Action Verbs in Grounded Language Understanding. - Maxime Peyrard, Judith Eckle-Kohler:
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization. - Ryo Nagata, Keisuke Sakaguchi:
Phrase Structure Annotation and Parsing for Learner English. - Burr Settles, Brendan Meeder:
A Trainable Spaced Repetition Model for Language Learning. - Adithya Renduchintala, Rebecca Knowles, Philipp Koehn, Jason Eisner:
User Modeling in Language Learning with Macaronic Texts. - Ella Rabinovich, Sergiu Nisioi, Noam Ordan, Shuly Wintner:
On the Similarities Between Native, Non-native and Translated Texts. - Hadi Amiri, Philip Resnik, Jordan L. Boyd-Graber, Hal Daumé III:
Learning Text Pair Similarity with Context-sensitive Autoencoders. - Ioannis Arapakis, Filipa Peleja, Berkant Barla Cambazoglu, João Magalhães:
Linguistic Benchmarks of Online News Article Quality. - Ander Barrena, Aitor Soroa, Eneko Agirre:
Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation. - Or Biran, Terra Blevins, Kathleen R. McKeown:
Mining Paraphrasal Typed Templates from a Plain Text Corpus. - Anders Björkelund, Agnieszka Falenska, Wolfgang Seeker, Jonas Kuhn:
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents. - William Boag, Renan Campos, Kate Saenko, Anna Rumshisky:
MUTT: Metric Unit TesTing for Language Generation Tasks. - Nikolay Bogoychev, Adam Lopez:
N-gram language models for massively parallel devices. - Jan Buys, Jan A. Botha:
Cross-Lingual Morphological Tagging for Low-Resource Languages. - Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu:
Semi-Supervised Learning for Neural Machine Translation. - Wenlin Chen, David Grangier, Michael Auli:
Strategies for Training Large Vocabulary Neural Language Models. - Silvio Cordeiro, Carlos Ramisch, Marco Idiart, Aline Villavicencio:
Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time. - Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. - Thierry Etchegoyhen, Andoni Azpeitia:
Set-Theoretic Alignment for Comparable Corpora. - Daniel C. Ferreira, André F. T. Martins, Mariana S. C. Almeida:
Jointly Learning to Embed and Predict with Multiple Languages. - Lucie Flekova, Iryna Gurevych:
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization. - Jonas Groschwitz, Alexander Koller, Mark Johnson:
Efficient techniques for parsing with tree automata. - James Henderson, Diana Nicoleta Popa:
A Vector Space for Distributional Semantics for Entailment. - Zhiyang He, Xien Liu, Ping Lv, Ji Wu:
Hidden Softmax Sequence Model for Dialogue Structure Analysis. - Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer:
Summarizing Source Code using a Neural Attention Model. - Hernisa Kacorri, Matt Huenerfauth:
Continuous Profile Models in ASL Syntactic Facial Expression Synthesis. - Siavash Kazemian, Shunan Zhao, Gerald Penn:
Evaluating Sentiment Analysis in the Context of Securities Trading. - Effi Levi, Roi Reichart, Ari Rappoport:
Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference. - Jing Li, Ming Liao, Wei Gao, Yulan He, Kam-Fai Wong:
Topic Extraction from Microblog Posts Using Conversation Structures. - Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun:
Neural Relation Extraction with Selective Attention over Instances. - Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao:
Leveraging FrameNet to Improve Automatic Event Detection. - Arindam Mitra, Chitta Baral:
Learning To Use Formulas To Solve Simple Arithmetic Problems. - Katerina Papantoniou, Stasinos Konstantopoulos:
Unravelling Names of Fictional Characters. - Ellie Pavlick, Chris Callison-Burch:
Most "babies" are "little" and most "problems" are "huge": Compositional Entailment in Adjective-Nouns. - Isaac Persing, Vincent Ng:
Modeling Stance in Student Essays. - Peng Qian, Xipeng Qiu, Xuanjing Huang:
A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation. - Nils Reimers, Nazanin Dehghani, Iryna Gurevych:
Temporal Anchoring of Events for the TimeBank Corpus. - Alla Rozovskaya, Dan Roth:
Grammatical Error Correction: Machine Translation and Classifiers. - Sunil Kumar Sahu, Ashish Anand:
Recurrent neural network models for disease name recognition using domain invariant features. - Upendra Sapkota, Thamar Solorio, Manuel Montes-y-Gómez, Steven Bethard:
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning. - Ryohei Sasano, Manabu Okumura:
A Corpus-Based Analysis of Canonical Word Order of Japanese Double Object Constructions. - Chen Shi, Shujie Liu, Shuo Ren, Shi Feng, Mu Li, Ming Zhou, Xu Sun, Houfeng Wang:
Knowledge-Based Semantic Embedding for Machine Translation. - Avirup Sil, Radu Florian:
One for All: Towards Language Independent Named Entity Linking. - Kohei Sugawara, Hayato Kobayashi, Masajiro Iwasaki:
On Approximately Searching for Similar Word Embeddings. - Sho Takase, Naoaki Okazaki, Kentaro Inui:
Composing Distributed Representations of Relational Patterns. - Hardik Vala, Andrew Piper, Derek Ruths:
The More Antecedents, the Merrier: Resolving Multi-Antecedent Anaphors. - Xiaojun Wan, Tianming Wang:
Automatic Labeling of Topic Models Using Text Summaries. - Wenhui Wang, Baobao Chang:
Graph-based Dependency Parsing with Bidirectional LSTM. - Han Xiao, Minlie Huang, Xiaoyan Zhu:
TransG : A Generative Model for Knowledge Graph Embedding. - Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, Dongyan Zhao:
Question Answering on Freebase via Relation Extraction and Textual Evidence. - Maria Yancheva, Frank Rudzicz:
Vector-space topic models for detecting Alzheimer's disease. - Rui Yan, Cheng-Te Li, Xiaohua Hu, Ming Zhang:
Chinese Couplet Generation with Neural Network Structures. - Danqi Chen, Jason Bolton, Christopher D. Manning:
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task. - Sida I. Wang, Percy Liang, Christopher D. Manning:
Learning Language Games through Interaction. - E. Dario Gutiérrez, Roger Levy, Benjamin K. Bergen:
Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression. - Vered Shwartz, Yoav Goldberg, Ido Dagan:
Improving Hypernymy Detection with an Integrated Path-based and Distributional Method. - Julian Hitschler, Shigehiko Schamoni, Stefan Riezler:
Multimodal Pivots for Image Caption Translation. - Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing:
Harnessing Deep Neural Networks with Logic Rules. - Fermín Moscoso del Prado Martín, Christian Brendel:
Case and Cause in Icelandic: Reconstructing Causal Networks of Cascaded Language Changes. - Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems. - Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks.
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