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Michael Collins

University of Pennsylvania

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

Jan 01, 2021
Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

* 26 pages 

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Evaluating Explanations: How much do explanations from the teacher aid students?

Dec 01, 2020
Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen

* Preprint 

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QED: A Framework and Dataset for Explanations in Question Answering

Sep 08, 2020
Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins


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Sparse, Dense, and Attentional Representations for Text Retrieval

May 01, 2020
Yi Luan, Jacob Eisenstein, Kristina Toutanova, Michael Collins


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TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Mar 10, 2020
Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, Jennimaria Palomaki

* To appear in Transactions of the Association for Computational Linguistics (TACL) 2020. Please use this as the citation 

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Fusion of Detected Objects in Text for Visual Question Answering

Aug 14, 2019
Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter


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Synthetic QA Corpora Generation with Roundtrip Consistency

Jun 12, 2019
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins


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BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

May 24, 2019
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova

* In NAACL 2019 

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Low-Resource Syntactic Transfer with Unsupervised Source Reordering

Mar 13, 2019
Mohammad Sadegh Rasooli, Michael Collins

* Accepted in NAACL 2019 

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A BERT Baseline for the Natural Questions

Jan 24, 2019
Chris Alberti, Kenton Lee, Michael Collins


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Improving Span-based Question Answering Systems with Coarsely Labeled Data

Nov 05, 2018
Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur Parikh, Michael Collins, Kristina Toutanova


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Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency

Sep 06, 2018
Zhuang Ma, Michael Collins

* To appear in EMNLP2018 

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SyntaxNet Models for the CoNLL 2017 Shared Task

Mar 15, 2017
Chris Alberti, Daniel Andor, Ivan Bogatyy, Michael Collins, Dan Gillick, Lingpeng Kong, Terry Koo, Ji Ma, Mark Omernick, Slav Petrov, Chayut Thanapirom, Zora Tung, David Weiss

* Tech report 

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Cross-Lingual Syntactic Transfer with Limited Resources

Feb 04, 2017
Mohammad Sadegh Rasooli, Michael Collins


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Kernel Approximation Methods for Speech Recognition

Jan 13, 2017
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha


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Globally Normalized Transition-Based Neural Networks

Jun 08, 2016
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins


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A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition

Mar 18, 2016
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurelien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

* arXiv admin note: text overlap with arXiv:1411.4000 

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Structured Training for Neural Network Transition-Based Parsing

Jun 19, 2015
David Weiss, Chris Alberti, Michael Collins, Slav Petrov


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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets

Jun 17, 2015
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha


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Learning Dictionaries for Named Entity Recognition using Minimal Supervision

Apr 24, 2015
Arvind Neelakantan, Michael Collins

* In 14th Conference of the European Chapter of the Association for Computational Linguistic, 2014 

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A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing

Jan 23, 2014
Alexander M. Rush, Michael Collins

* Journal Of Artificial Intelligence Research, Volume 45, pages 305-362, 2012 

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Case-Factor Diagrams for Structured Probabilistic Modeling

Jul 11, 2012
David A. McAllester, Michael Collins, Fernando Pereira

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars

Jul 04, 2012
Luke S. Zettlemoyer, Michael Collins

* Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005) 

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Three Generative, Lexicalised Models for Statistical Parsing

Jun 17, 1997
Michael Collins

* 8 pages, to appear in Proceedings of ACL/EACL 97. 

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A New Statistical Parser Based on Bigram Lexical Dependencies

May 06, 1996
Michael Collins

* 8 pages, to appear in Proceedings of ACL 96. Uuencoded gz-compressed postscript file created by csh script uufiles 

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Prepositional Phrase Attachment through a Backed-Off Model

Jun 22, 1995
Michael Collins, James Brooks

* To appear in Proceedings of the Third Workshop on Very Large Corpora, 12 pages, LaTeX 

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