Papers
Vancouver Welcomes You! Minimalist Location Metonymy Resolution
Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham et al.
A Local Detection Approach for Named Entity Recognition and Mention Detection
Mingbin Xu, Hui Jiang, Sedtawut Watcharawittayakul
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Suncong Zheng, Feng Wang, Hongyun Bao et al.
Robust Incremental Neural Semantic Graph Parsing
Jan Buys, Phil Blunsom
Neural Joint Model for Transition-based Chinese Syntactic Analysis
Shuhei Kurita, Daisuke Kawahara, Sadao Kurohashi
Adversarial Multi-Criteria Learning for Chinese Word Segmentation
Xinchi Chen, Zhan Shi, Xipeng Qiu et al.
Probabilistic Typology: Deep Generative Models of Vowel Inventories
Ryan Cotterell, Jason Eisner
Abstractive Document Summarization with a Graph-Based Attentional Neural Model
Jiwei Tan, Xiaojun Wan, Jianguo Xiao
Detecting annotation noise in automatically labelled data
Ines Rehbein, Josef Ruppenhofer
Visualizing and Understanding Neural Machine Translation
Yanzhuo Ding, Yang Liu, Huanbo Luan et al.
Abstract Syntax Networks for Code Generation and Semantic Parsing
Maxim Rabinovich, Mitchell Stern, Dan Klein
A Transition-Based Directed Acyclic Graph Parser for UCCA
Daniel Hershcovich, Omri Abend, Ari Rappoport
Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses
Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban et al.
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents
Corina Florescu, Cornelia Caragea
Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou, Nan Yang, Furu Wei et al.
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization
Maxime Peyrard, Judith Eckle-Kohler
Get To The Point: Summarization with Pointer-Generator Networks
Abigail See, Peter J. Liu, Christopher D. Manning
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