Papers
Diversity driven attention model for query-based abstractive summarization
Preksha Nema, Mitesh M. Khapra, Anirban Laha et al.
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Kelvin Guu, Panupong Pasupat, Evan Liu et al.
Semi-Supervised QA with Generative Domain-Adaptive Nets
Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov et al.
Bayesian Modeling of Lexical Resources for Low-Resource Settings
Nicholas Andrews, Mark Dredze, Benjamin Van Durme et al.
Don’t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
Iryna Haponchyk, Alessandro Moschitti
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
Lianhui Qin, Zhisong Zhang, Hai Zhao et al.
Neural Discourse Structure for Text Categorization
Yangfeng Ji, Noah A. Smith
Argument Mining with Structured SVMs and RNNs
Vlad Niculae, Joonsuk Park, Claire Cardie
Joint Modeling of Content and Discourse Relations in Dialogues
Kechen Qin, Lu Wang, Joseph Kim
Learning a Neural Semantic Parser from User Feedback
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung et al.
An Interpretable Knowledge Transfer Model for Knowledge Base Completion
Qizhe Xie, Xuezhe Ma, Zihang Dai et al.
Semantic Word Clusters Using Signed Spectral Clustering
João Sedoc, Jean Gallier, Dean Foster et al.
Naturalizing a Programming Language via Interactive Learning
Sida I. Wang, Samuel Ginn, Percy Liang et al.
Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees
Arzoo Katiyar, Claire Cardie
Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task
Omid Bakhshandeh, James Allen
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling
Jeffrey Lund, Connor Cook, Kevin Seppi et al.
A Multidimensional Lexicon for Interpersonal Stancetaking
Umashanthi Pavalanathan, Jim Fitzpatrick, Scott Kiesling et al.
Context-Dependent Sentiment Analysis in User-Generated Videos
Soujanya Poria, Erik Cambria, Devamanyu Hazarika et al.
What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov, Nadir Durrani, Fahim Dalvi et al.
Neural Machine Translation via Binary Code Prediction
Yusuke Oda, Philip Arthur, Graham Neubig et al.
Neural Word Segmentation with Rich Pretraining
Jie Yang, Yue Zhang, Fei Dong
Semantic Dependency Parsing via Book Embedding
Weiwei Sun, Junjie Cao, Xiaojun Wan
A Minimal Span-Based Neural Constituency Parser
Mitchell Stern, Jacob Andreas, Dan Klein
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability
Saku Sugawara, Yusuke Kido, Hikaru Yokono et al.
Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction
Christopher Bryant, Mariano Felice, Ted Briscoe