Tom Kwiatkowski

According to our database, Tom Kwiatkowski authored at least 29 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders.

Livio Soares, Daniel Gillick, Jeremy R. Cole, Tom Kwiatkowski

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Evaluating and Modeling Attribution for Cross-Lingual Question Answering.

Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

1-PAGER: One Pass Answer Generation and Evidence Retrieval.

Palak Jain, Livio Soares, Tom Kwiatkowski

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

2021

Decontextualization: Making Sentences Stand-Alone.

Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins

Trans. Assoc. Comput. Linguistics, 2021

MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network.

Nicholas FitzGerald, Daniel M. Bikel, Jan A. Botha, Daniel Gillick, Tom Kwiatkowski, Andrew McCallum

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

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

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

Trans. Assoc. Comput. Linguistics, 2020

Learning Cross-Context Entity Representations from Text.

Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. 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 S. H. 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 Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Entities as Experts: Sparse Memory Access with Entity Supervision.

Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, Tom Kwiatkowski

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking.

Thibault Févry, Nicholas FitzGerald, Livio Baldini Soares, Tom Kwiatkowski

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019

Inherent Disagreements in Human Textual Inferences.

Ellie Pavlick, Tom Kwiatkowski

Trans. Assoc. Comput. Linguistics, 2019

Natural Questions: a Benchmark for Question Answering Research.

Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov

Trans. Assoc. Comput. Linguistics, 2019

Incremental Reading for Question Answering.

Samira Abnar, Tania Bedrax-Weiss, Tom Kwiatkowski, William W. Cohen

CoRR, 2019

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

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Matching the Blanks: Distributional Similarity for Relation Learning.

Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index.

Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Multi-Mention Learning for Reading Comprehension with Neural Cascades.

Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski

Proceedings of the 6th International Conference on Learning Representations, 2018

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension.

Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Transforming Dependency Structures to Logical Forms for Semantic Parsing.

Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2016

Learning Recurrent Span Representations for Extractive Question Answering.

Kenton Lee, Tom Kwiatkowski, Ankur P. Parikh, Dipanjan Das

CoRR, 2016

2015

Scalable Semantic Parsing with Partial Ontologies.

Eunsol Choi, Tom Kwiatkowski, Luke Zettlemoyer

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Morpho-syntactic Lexical Generalization for CCG Semantic Parsing.

Adrienne X. Wang, Tom Kwiatkowski, Luke Zettlemoyer

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

"Can you give me another word for hyperbaric?": Improving speech translation using targeted clarification questions.

Necip Fazil Ayan, Arindam Mandal, Michael W. Frandsen, Jing Zheng, Peter Blasco, Andreas Kathol, Frédéric Béchet, Benoît Favre, Alex Marin, Tom Kwiatkowski, Mari Ostendorf, Luke Zettlemoyer, Philipp Salletmayr, Julia Hirschberg, Svetlana Stoyanchev

Proceedings of the IEEE International Conference on Acoustics, 2013

Scaling Semantic Parsers with On-the-Fly Ontology Matching.

Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Using syntactic and confusion network structure for out-of-vocabulary word detection.

Alex Marin, Tom Kwiatkowski, Mari Ostendorf, Luke Zettlemoyer

Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings.

Tom Kwiatkowski, Sharon Goldwater, Luke Zettlemoyer, Mark Steedman

Proceedings of the EACL 2012, 2012

2011

Lexical Generalization in CCG Grammar Induction for Semantic Parsing.

Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, Mark Steedman

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification.

Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, Mark Steedman

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010