Papers
Lifelong Machine Learning for Natural Language Processing
Zhiyuan Chen, Bing Liu
2016
EMNLP
Advanced Markov Logic Techniques for Scalable Joint Inference in NLP
Deepak Venugopal, Vibhav Gogate, Vincent Ng
2016
EMNLP
Practical Neural Networks for NLP: From Theory to Code
Chris Dyer, Yoav Goldberg, Graham Neubig
2016
EMNLP
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev et al.
Learning a Lexicon and Translation Model from Phoneme Lattices
Oliver Adams, Graham Neubig, Trevor Cohn et al.
Global Neural CCG Parsing with Optimality Guarantees
Kenton Lee, Mike Lewis, Luke Zettlemoyer
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
Karthik Narasimhan, Adam Yala, Regina Barzilay
Encoding Temporal Information for Time-Aware Link Prediction
Tingsong Jiang, Tianyu Liu, Tao Ge et al.
Unsupervised Timeline Generation for Wikipedia History Articles
Sandro Bauer, Simone Teufel
Human-in-the-Loop Parsing
Luheng He, Julian Michael, Mike Lewis et al.
Parsing as Language Modeling
Do Kook Choe, Eugene Charniak
Morphological Segmentation Inside-Out
Ryan Cotterell, Arun Kumar, Hinrich Schütze
Word Ordering Without Syntax
Allen Schmaltz, Alexander M. Rush, Stuart Shieber
Transition-Based Dependency Parsing with Heuristic Backtracking
Jacob Buckman, Miguel Ballesteros, Chris Dyer
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition
Changxing Wu, Xiaodong Shi, Yidong Chen et al.
Creating a Large Benchmark for Open Information Extraction
Gabriel Stanovsky, Ido Dagan
Measuring the behavioral impact of machine translation quality improvements with A/B testing
Ben Russell, Duncan Gillespie
Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
Mikel Artetxe, Gorka Labaka, Eneko Agirre
Supervised Attentions for Neural Machine Translation
Haitao Mi, Zhiguo Wang, Abe Ittycheriah
Why Neural Translations are the Right Length
Xing Shi, Kevin Knight, Deniz Yuret
Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation
Toshiaki Nakazawa, John Richardson, Sadao Kurohashi
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification
Lianhui Qin, Zhisong Zhang, Hai Zhao
Deep Reinforcement Learning for Mention-Ranking Coreference Models
Kevin Clark, Christopher D. Manning
A Decomposable Attention Model for Natural Language Inference
Ankur Parikh, Oscar Täckström, Dipanjan Das et al.
Learning to Generate Compositional Color Descriptions
Will Monroe, Noah D. Goodman, Christopher Potts