(Incomplete) List of NLP papers that I read

Topics include Neural Machine Translation, Parsing, Syntax, and more. For now the papers are sorted by conference. Selected papers include summaries.

Arxiv 2017

• Lee et al. Recurrent Additive Networks

EMNLP'17 Copenhagen

• Yang et al. Towards Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation
• Gu et al. (2017) Trainable Greedy Decoding for Neural Machine Translation

ACL'17 Vancouver

• Gehring et al. A Convolutional Encoder Model for Neural Machine Translation

ICLR'17 Toulon

• Yu et al. The Neural Noisy Channel
• Dozat & Manning. Deep Biaffine Attention for Neural Dependency Parsing

EACL'17 Valencia

• Kuncoro et al. What Do Recurrent Neural Network Grammars Learn About Syntax? [bib]

NIPS'16 Barcelona

• Gal & Ghahramani. A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

ACL'16 Berlin

• Cross & Huang. Incremental Parsing with Minimal Features Using Bi-Directional LSTM [bib]

CONLL'16 Berlin

• Bowman et al. Generating Sentences from a Continuous Space

EMNLP'16 Texas

• Parikh et al. A Decomposable Attention Model for Natural Language Inference [summary]

NAACL'16 San Diego

• Dyer et al. Recurrent Neural Network Grammars [bib]

TACL'16

• Kiperwasser & Goldberg. Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations [bib]

Arxiv '16

• Kalchbrenner et al. Neural Machine Translation in Linear Time
• Lee et al. Fully Character-Level Neural Machine Translation without Explicit Segmentation

ACL'15 Beijing

• Dyer et al. Transition-Based Dependency Parsing with Stack Long Short-Term Memory [bib]

Misc

• Rush et al. Neural Attention Model for Sentence Summarization