Tom Kwiatkowski - Concepedia

Author

Tom Kwiatkowski

Google (United States)

Also Known As

Hui, Kai, Kwiatkowski, Tom, Tom Kwiatkowski

Publications

5.4K

Citations

H-Index

Concepts

All Affiliations

Google (United States)University of Washington University of Edinburgh Naver (South Korea)Allen Institute

About

Tom Kwiatkowski is an author at Google (United States) specializing in natural language processing, engineering, and computational linguistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	18	4.3K
2	Language Studies	14	14	3.5K
3	Linguistics	14	14	3.5K
4	Data Science	10	10	3.1K
5	Computer Science	7	7	1.5K

Tom Kwiatkowski

Publications

4.9K

Citations

H-Index

Page 1

	Year	Citations
Natural Questions: A Benchmark for Question Answering Research Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Transactions of the Association for Computational Linguistics Natural Language ProcessingEngineeringInformation RetrievalQuestion AnsweringData Science	2019	1.9K
Gemini: A Family of Highly Capable Multimodal Models Gemini Robotics Team, Rohan Anil, Sebastian Borgeaud, arXiv (Cornell University) Artificial IntelligenceNatural Language ProcessingNew FamilyLarge Ai ModelImage Analysis	2023	784
T<scp>y</scp>D<scp>i</scp> QA: A Benchmark for Information-Seeking Question Answering in <i>Ty</i>pologically <i>Di</i>verse Languages Jonathan H. Clark, Eunsol Choi, Michael Collins, Transactions of the Association for Computational Linguistics EngineeringInformation-seeking Question AnsweringMultilingualismCross-lingual RepresentationSemantics	2020	323
Scaling Semantic Parsers with On-the-Fly Ontology Matching Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, Ontology MatchingFixed Target OntologyEngineeringSemanticsSemantic Web	2013	234
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions Christopher Clark, Kenton Lee, Ming‐Wei Chang, arXiv (Cornell University) Llm Fine-tuningEngineeringNatural Yes/no QuestionsTextual EntailmentMultilingual Pretraining	2019	209
Lexical Generalization in CCG Grammar Induction for Semantic Parsing Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, Edinburgh Research Explorer (University of Edinburgh)	2011	207
Inherent Disagreements in Human Textual Inferences Ellie Pavlick, Tom Kwiatkowski Transactions of the Association for Computational Linguistics Natural Language ProcessingEngineeringArgumentation FrameworkComputational LinguisticsNlp Task	2019	190
Transforming Dependency Structures to Logical Forms for Semantic Parsing Siva Reddy, Oscar Täckström, Michael Collins, Transactions of the Association for Computational Linguistics Natural Language ProcessingSyntactic ParsingSyntaxEngineeringAutomated Reasoning	2016	159
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, EngineeringMachine LearningOpen-domain Question AnsweringSemantic WebLarge Language Model	2019	137
Matching the Blanks: Distributional Similarity for Relation Learning Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling,	2019	129

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