Papers
Neural Metaphor Detection in Context
Ge Gao, Eunsol Choi, Yejin Choi et al.
Generalizing Word Embeddings using Bag of Subwords
Jinman Zhao, Sidharth Mudgal, Yingyu Liang
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
Koki Washio, Tsuneaki Kato
Quantifying Context Overlap for Training Word Embeddings
Yimeng Zhuang, Jinghui Xie, Yinhe Zheng et al.
Why is unsupervised alignment of English embeddings from different algorithms so hard?
Mareike Hartmann, Yova Kementchedjhieva, Anders Søgaard
Adaptive Document Retrieval for Deep Question Answering
Bernhard Kratzwald, Stefan Feuerriegel
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension
Sathish Reddy Indurthi, Seunghak Yu, Seohyun Back et al.
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering
Jinhyuk Lee, Seongjun Yun, Hyunjae Kim et al.
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
Minjoon Seo, Tom Kwiatkowski, Ankur Parikh et al.
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach
Michael Petrochuk, Luke Zettlemoyer
MTNT: A Testbed for Machine Translation of Noisy Text
Paul Michel, Graham Neubig
Improving the Transformer Translation Model with Document-Level Context
Jiacheng Zhang, Huanbo Luan, Maosong Sun et al.
Adaptive Multi-pass Decoder for Neural Machine Translation
Xinwei Geng, Xiaocheng Feng, Bing Qin et al.
Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages
Shyam Upadhyay, Jordan Kodner, Dan Roth
Understanding Back-Translation at Scale
Sergey Edunov, Myle Ott, Michael Auli et al.
Semi-Autoregressive Neural Machine Translation
Chunqi Wang, Ji Zhang, Haiqing Chen
Non-Adversarial Unsupervised Word Translation
Yedid Hoshen, Lior Wolf
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva et al.
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination
Jiali Zeng, Jinsong Su, Huating Wen et al.
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
Marzieh Fadaee, Christof Monz
Contextual Parameter Generation for Universal Neural Machine Translation
Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig et al.
XL-NBT: A Cross-lingual Neural Belief Tracking Framework
Wenhu Chen, Jianshu Chen, Yu Su et al.
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gū, Hassan S. Shavarani, Anoop Sarkar
Addressing Troublesome Words in Neural Machine Translation
Yang Zhao, Jiajun Zhang, Zhongjun He et al.