1 | Date (2019) | Topic | Presenter | Papers | More | |
---|---|---|---|---|---|---|
2 | 1/22 | Commonsense | Sean | 2018 | SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference | |
3 | EMNLP | Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi | ||||
4 | 2019 | ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning | ||||
5 | AAAI | Maarten Sap, Ronan LeBras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi | ||||
6 | 2018 | Event2Mind: Commonsense Inference on Events, Intents, and Reactions | ||||
7 | ACL | Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi | ||||
8 | 2/5 | What NNs learn | Emma | 2018 | Did the Model Understand the Question? | |
9 | ACL | Pramod Kaushik Mudrakarta, Ankur Taly, Mukund Sundararajan, Kedar Dhamdhere | ||||
10 | 2018 | Deep RNNs Encode Soft Hierarchical Syntax | ||||
11 | ACL | Terra Blevins, Omer Levy, Luke Zettlemoyer | ||||
12 | 2018 | LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better | ||||
13 | ACL | Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom | ||||
14 | 2/12 | Transfer Learning/Embeddings | Austin | 2017 | Attention is All You Need | Illustrated Transformer |
15 | NeurIPS | Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin | ||||
16 | 2018 | Deep contextualized word representations | ||||
17 | NAACL | Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer | ||||
18 | 2018 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | ||||
19 | arXiv | Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova | ||||
20 | Generation & Sentence Pairs | |||||
21 | 2/26 | NLG + Paraphrasing | Nathan | 2013 | Squib: What is a paraphrase? | |
22 | CL | Rahul Bhagat, Eduard Hovy | ||||
23 | 2019 | ParaBank: Monolingual bitext generation and sentential paraphrasing via lexically-constrained neural machine translation | DEMO | |||
24 | AAAI | J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme | ||||
25 | Emma | 2018 | The price of debiasing automatic metrics in natural language evaluation | |||
26 | ACL | Arun Chaganty, Stephen Mussmann, Percy Liang | ||||
27 | Jakob | 2018 | Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning | |||
28 | INLG | David M. Howcroft, Dietrich Klakow, Vera Demberg | ||||
29 | 3/12 | MT | Zhiwen | 2018 | Phrase-Based & Neural Unsupervised Machine Translation | |
30 | EMNLP | Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato | ||||
31 | 2018 | Unsupervised Statistical Machine Translation | ||||
32 | EMNLP | Mikel Artetxe, Gorka Labaka, Eneko Agirre | ||||
33 | 2018 | Unsupervised neural machine translation with weight sharing | ||||
34 | ACL | Zhen Yang, Wei Chen, Feng Wang, Bo Xu | ||||
35 | Form & Meaning | |||||
36 | 3/19 | Figurative Language | Eugene | 2018 | Word Embedding and WordNet Based Metaphor Identification and Interpretation | |
37 | ACL | Rui Mao, Chenghua Lin, Frank Guerin | ||||
38 | 2018 | Neural Metaphor Detection in Context | ||||
39 | EMNLP | Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer | ||||
40 | 2018 | A Computational Exploration of Exaggeration | ||||
41 | EMNLP | Enrica Troiano, Carlo Strapparava, Gözde Özbal, Serra Sinem Tekiroglu | ||||
42 | 3/26 | Syntax/Semantics | Logan + Shaobo | 2018 | Improving Text-to-SQL Evaluation Methodology | |
43 | ACL | Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir Radev | ||||
44 | 2018 | Semantic Parsing with Syntax- and Table-Aware SQL Generation | ||||
45 | ACL | Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou | ||||
46 | 2018 | Scene Graph Parsing as Dependency Parsing | ||||
47 | NAACL-HLT | Yu-Siang Wang, Chenxi Liu, Xiaohui Zeng, Alan Yuille | ||||
48 | 4/2 | Discourse | Logan | 2018 | Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts | |
49 | EMNLP | Matthew Lamm, Arun Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang | ||||
50 | 2018 | Coherence Modeling of Asynchronous Conversations: A Neural Entity Grid Approach | ||||
51 | ACL | Shafiq Joty, Muhammad Tasnim Mohiuddin, Dat Tien Nguyen | ||||
52 | 2018 | Modeling Sentiment Association in Discourse for Humor Recognition | ||||
53 | ACL | Lizhen Liu, Donghai Zhang, Wei Song | ||||
54 | 4/9 | Event Coreference | Jakob | 2017 | Joint Learning for Event Coreference Resolution | |
55 | ACL | Jing Lu, Vincent Ng | ||||
56 | 2018 | Graph-Based Decoding for Event Coreference and Sequencing Resolution | ||||
57 | COLING | Zhengzhong Liu, Teruko Mitamura, Eduard Hovy | ||||
58 | 2018 | Identifying the Most Dominant Event in a News Article by Mining Event Coreference Relations | ||||
59 | NAACL-HLT | Prafulla Kumar Choubey, Kaushik Raju, Ruihong Huang | ||||
60 | Advanced ML Topics | |||||
61 | 4/16 | Augmented NNs | Shaobo | 2018 | Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing | |
62 | NAACL | Annervaz K M, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati | ||||
63 | 2018 | Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning | ||||
64 | EMNLP | Sotiris Lamprinidis, Daniel Hardt, Dirk Hovy | ||||
65 | 2018 | Neural Argument Generation Augmented with Externally Retrieved Evidence | ||||
66 | ACL | Xinyu Hua, Lu Wang | ||||
67 | 4/23 | GANs | Eugene + Zhiwen | 2014 | Generative Adversarial Nets | |
68 | NIPS | Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio | ||||
69 | 2017 | Adversarial Learning for Neural Dialogue Generation | ||||
70 | EMNLP | Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky | ||||
71 | 2018 | DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction | ||||
72 | ACL | Pengda Qin, Weiran Xu, William Yang Wang | ||||
73 | 4/30 | Topic Modeling | Rob | 2016 | Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec | |
74 | arXiv | Christopher E. Moody | ||||
75 | 2018 | Authorless Topic Models: Biasing Models Away from Known Structure | ||||
76 | COLING | Laure Thompson, David Mimno | ||||
77 | 2017 | Pulling Out the Stops: Rethinking Stopword Removal for Topic Models | ||||
78 | EACL | Alexandra Schofield, Måns Magnusson, David Mimno |