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candidate_papers_spring2017.md

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Proposed by Carlos:

Supersparse linear models for interpretable classification

https://arxiv.org/abs/1306.6677

Proposed by Clay:

Generative Adversarial Nets

https://papers.nips.cc/paper/5423-generative-adversarial-nets

Proposed by Marco:

Joint Extraction of Events and Entities within a Document Context

http://www.cs.cmu.edu/~bishan/papers/joint_event_naacl16.pdf

Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment

http://aclweb.org/anthology/D/D16/D16-1234.pdf

Hierarchical Question Answering for Long Documents

https://arxiv.org/pdf/1611.01839.pdf

Proposed by Mihai:

Coreference resolution using RL. Best performance to date:

http://nlp.stanford.edu/pubs/clark2016deep.pdf

A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs

https://arxiv.org/abs/1611.05104

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

https://arxiv.org/abs/1607.01426

Decoding the Thought Vector (blog)

http://gabgoh.github.io/ThoughtVectors/

Proposed by Steven:

TODO: Social impact of NLP

Proposed by Michael:

Understanding Neural Networks through Representation Erasure

https://arxiv.org/pdf/1612.08220.pdf

Evaluating Word Embeddings Using a Representative Suite of Practical Tasks AND Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

http://www.aclweb.org/anthology/W/W16/W16-2504.pdf and https://arxiv.org/pdf/1608.04207v1.pdf

Learning to Transduce with Unbounded Memory

https://arxiv.org/pdf/1506.02516v3.pdf

Rationale-Augmented Convolutional Neural Networks for Text Classification

http://aclweb.org/anthology/D/D16/D16-1076.pdf

A Decomposable Attention Model for Natural Language Inference

http://aclweb.org/anthology/D/D16/D16-1244.pdf

Quasi-Recurrent Neural Networks

https://arxiv.org/pdf/1611.01576v2.pdf

Dialogue Learning with Human-in-the-loop

https://arxiv.org/pdf/1611.09823v1.pdf

Proposed by Robert:

Emergence of Gricean Maxims from Multi-Agent Decision Theory

http://nlp.stanford.edu/pubs/cards-naacl2013.pdf