Paper Presentation

Spring 2020

1/27

• Latent Dirichlet Allocation, Blei et al., JMLR, 2003 - TBA

2/1

• GloVe: Global Vectors for Word Representation, Pennington et al., EMNLP, 2014 - Yao

2/3

• XLNet: Generalized Autoregressive Pretraining for Language Understanding, Yang eg al., NIPS, 2019 - Derek
• ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators, Clark et al., ICLR 2020 - TBA

2/8

• Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, Socher et al., EMNLP, 2013 - Mack Hutsell

2/10

• Hierarchical Attention Networks for Document Classification, Yang et al., NAACL, 2016 - D. Huryn

2/15

• Be More with Less: Hypergraph Attention Networks for Inductive Text Classification, Ding et al., EMNLP, 2020 - wendy
• Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers, Chen and Ji, EMNLP 2020 - Felix

2/22

• Word Representations: A Simple and General Method for Semi-Supervised Learning, Turian et al., ACL, 2010 - wendy

2/24

• Neural Architectures for Named Entity Recognition, Lample et al., NAACL, 2016 - Yao

3/1

• Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings, Bohnet et al., ACL, 2018 - Derek
• LUKE: Deep Contextualized Entity Representations with Entity-Aware Self-Attention, Yamada et al., EMNLP 2020 - Mack Hutsell

3/3

• Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking, Charniak and Johnson, ACL, 2005 - Derek

3/8

• Straight to the Tree: Constituency Parsing with Neural Syntactic Distance, Shen et al., 2018 - Felix

3/10

• Stack-Pointer Networks for Dependency Parsing, Ma et al., ACL, 2018 - D. Huryn
• Fast and Accurate Neural CRF Constituency Parsing, Zhang et al., IJCAI, 2020 - wendy

3/22

• Semantic Role Labeling Via Integer Linear Programming Inference, Punyakanok et al., COLING, 2004 - Mack Hutsell

3/24

• A Discriminative Graph-Based Parser for the Abstract Meaning Representation, Flanigan et al., ACL, 2014 - Yao

3/29

• Broad-Coverage Semantic Parsing as Transduction, Zhang et al., 2019 - Wendy
• Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning, Naseem et al., ACL 2019 - Derek

3/31

• Improving Coreference Resolution by Learning Entity-Level Distributed Representations, Clark and Manning, ACL, 2016 - Felix

4/5

• End-to-end Neural Coreference Resolution, Lee et al., EMNLP, 2017 - D. Huryn

4/7

• CorefQA: Coreference Resolution as Query-based Span Prediction, Wu et al., ACL, 2020 - TBA
• Variation in Coreference Strategies across Genres and Production Media, Aktaş and Stede, COLING 2020 - Felix

4/19

• Teaching Machines to Read and Comprehend, Hermann et al., NIPS, 2015 - Mack Hutsell
• The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations, Hill et al., ICLR, 2016 - D. Huryn

4/21

• CoQA: A Conversational Question Answering Challenge, Reddy et al., TACL, 2019 - TBA
• Natural Questions: A Benchmark for Question Answering Research, Kwiatkowski et al., TACL, 2019 - Yao