Papers
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
Pengda Qin, Weiran Xu, William Yang Wang
Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
Prafulla Kumar Choubey, Ruihong Huang
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis
Shuhei Kurita, Daisuke Kawahara, Sadao Kurohashi
Event2Mind: Commonsense Inference on Events, Intents, and Reactions
Hannah Rashkin, Maarten Sap, Emily Allaway et al.
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
John Wieting, Kevin Gimpel
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Dinghan Shen, Guoyin Wang, Wenlin Wang et al.
Discourse Representation Structure Parsing
Jiangming Liu, Shay B. Cohen, Mirella Lapata
Using Intermediate Representations to Solve Math Word Problems
Danqing Huang, Jin-Ge Yao, Chin-Yew Lin et al.
Accurate SHRG-Based Semantic Parsing
Yufei Chen, Weiwei Sun, Xiaojun Wan
AMR Parsing as Graph Prediction with Latent Alignment
Chunchuan Lyu, Ivan Titov
Character-Level Models versus Morphology in Semantic Role Labeling
Gözde Gül Şahin, Mark Steedman
Multitask Parsing Across Semantic Representations
Daniel Hershcovich, Omri Abend, Ari Rappoport
Semantic Parsing with Syntax- and Table-Aware SQL Generation
Yibo Sun, Duyu Tang, Nan Duan et al.
Improving Text-to-SQL Evaluation Methodology
Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang et al.
Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement
Nina Poerner, Hinrich Schütze, Benjamin Roth
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard, Sebastian Ruder
Sentence-State LSTM for Text Representation
Yue Zhang, Qi Liu, Linfeng Song
Zero-shot Learning of Classifiers from Natural Language Quantification
Shashank Srivastava, Igor Labutov, Tom Mitchell
Bridging CNNs, RNNs, and Weighted Finite-State Machines
Roy Schwartz, Sam Thomson, Noah A. Smith
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Urvashi Khandelwal, He He, Peng Qi et al.
Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck, Gholamreza Haffari, Trevor Cohn
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
Luke Vilnis, Xiang Li, Shikhar Murty et al.
LinkNBed: Multi-Graph Representation Learning with Entity Linkage
Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong et al.
Retrieval of the Best Counterargument without Prior Topic Knowledge
Henning Wachsmuth, Shahbaz Syed, Benno Stein
A Stylometric Inquiry into Hyperpartisan and Fake News
Martin Potthast, Johannes Kiesel, Kevin Reinartz et al.