Papers
Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B
Jiaming Luo, Yuan Cao, Regina Barzilay
CogNet: A Large-Scale Cognate Database
Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia
Choosing Transfer Languages for Cross-Lingual Learning
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee et al.
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan et al.
Lattice-Based Transformer Encoder for Neural Machine Translation
Fengshun Xiao, Jiangtong Li, Hai Zhao et al.
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders
Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal et al.
Sentence-Level Agreement for Neural Machine Translation
Mingming Yang, Rui Wang, Kehai Chen et al.
Leveraging Local and Global Patterns for Self-Attention Networks
Mingzhou Xu, Derek F. Wong, Baosong Yang et al.
Training Neural Machine Translation to Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico et al.
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation
Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad et al.
A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning
Gonçalo M. Correia, André F. T. Martins
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding
Hairong Liu, Mingbo Ma, Liang Huang et al.
Look Harder: A Neural Machine Translation Model with Hard Attention
Sathish Reddy Indurthi, Insoo Chung, Sangha Kim
STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework
Mingbo Ma, Liang Huang, Hao Xiong et al.
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Chenze Shao, Yang Feng, Jinchao Zhang et al.
Reference Network for Neural Machine Translation
Han Fu, Chenghao Liu, Jianling Sun
Domain Adaptation of Neural Machine Translation by Lexicon Induction
Junjie Hu, Mengzhou Xia, Graham Neubig et al.
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
Zihang Dai, Zhilin Yang, Yiming Yang et al.
Interpretable Neural Predictions with Differentiable Binary Variables
Jasmijn Bastings, Wilker Aziz, Ivan Titov
Correlating Neural and Symbolic Representations of Language
Grzegorz Chrupała, Afra Alishahi
Is Attention Interpretable?
Sofia Serrano, Noah A. Smith
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
Henry Moss, Andrew Moore, David Leslie et al.
Fine-Grained Temporal Relation Extraction
Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White
Matching the Blanks: Distributional Similarity for Relation Learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling et al.