Papers
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification
Jindřich Libovický, Jindřich Helcl
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation
Parnia Bahar, Christopher Brix, Hermann Ney
Getting Gender Right in Neural Machine Translation
Eva Vanmassenhove, Christian Hardmeier, Andy Way
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism
Longyue Wang, Zhaopeng Tu, Andy Way et al.
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation
Nikolay Bogoychev, Kenneth Heafield, Alham Fikri Aji et al.
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation
Junyang Lin, Xu Sun, Xuancheng Ren et al.
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
Armand Joulin, Piotr Bojanowski, Tomas Mikolov et al.
Adversarial Evaluation of Multimodal Machine Translation
Desmond Elliott
Fixing Translation Divergences in Parallel Corpora for Neural MT
MinhQuang Pham, Josep Crego, Jean Senellart et al.
Multi-Source Syntactic Neural Machine Translation
Anna Currey, Kenneth Heafield
Three Strategies to Improve One-to-Many Multilingual Translation
Yining Wang, Jiajun Zhang, Feifei Zhai et al.
Document-Level Neural Machine Translation with Hierarchical Attention Networks
Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas et al.
The Importance of Generation Order in Language Modeling
Nicolas Ford, Daniel Duckworth, Mohammad Norouzi et al.
How to represent a word and predict it, too: Improving tied architectures for language modelling
Kristina Gulordava, Laura Aina, Gemma Boleda
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models
Thanapon Noraset, Doug Downey, Lidong Bing
Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet
Yafang Huang, Hai Zhao
Multimodal neural pronunciation modeling for spoken languages with logographic origin
Minh Nguyen, Gia H. Ngo, Nancy Chen
Bayesian Compression for Natural Language Processing
Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry Vetrov
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study
Aditya Siddhant, Zachary C. Lipton
Multi-Head Attention with Disagreement Regularization
Jian Li, Zhaopeng Tu, Baosong Yang et al.
Generating Natural Language Adversarial Examples
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary et al.
An Encoder-Decoder Approach to the Paradigm Cell Filling Problem
Miikka Silfverberg, Mans Hulden
Imitation Learning for Neural Morphological String Transduction
Peter Makarov, Simon Clematide
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation
Arianna Bisazza, Clara Tump
A Framework for Understanding the Role of Morphology in Universal Dependency Parsing
Mathieu Dehouck, Pascal Denis