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Tom Kwiatkowski
Tom Kwiatkowski
Research Scientist, Google
Zweryfikowany adres z google.com
Tytuł
Cytowane przez
Cytowane przez
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Natural questions: a benchmark for question answering research
T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ...
11042019
Matching the blanks: Distributional similarity for relation learning
LB Soares, N FitzGerald, J Ling, T Kwiatkowski
arXiv preprint arXiv:1906.03158, 2019
5072019
Scaling Semantic Parsers with On-the-fly Ontology Matching
T Kwiatkowski, E Choi, Y Artzi, L Zettlemoyer
3752013
Inducing probabilistic CCG grammars from logical form with higher-order unification
T Kwiatkowksi, L Zettlemoyer, S Goldwater, M Steedman
Proceedings of the 2010 conference on empirical methods in natural language …, 2010
3682010
BoolQ: Exploring the surprising difficulty of natural yes/no questions
C Clark, K Lee, MW Chang, T Kwiatkowski, M Collins, K Toutanova
arXiv preprint arXiv:1905.10044, 2019
3152019
Lexical generalization in CCG grammar induction for semantic parsing
T Kwiatkowski, L Zettlemoyer, S Goldwater, M Steedman
Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011
2632011
TyDi QA: A benchmark for information-seeking question answering in typologically diverse languages
JH Clark, E Choi, M Collins, D Garrette, T Kwiatkowski, V Nikolaev, ...
Transactions of the Association for Computational Linguistics 8, 454-470, 2020
2382020
Transforming dependency structures to logical forms for semantic parsing
S Reddy, O Täckström, M Collins, T Kwiatkowski, D Das, M Steedman, ...
Transactions of the Association for Computational Linguistics 4, 127-140, 2016
1822016
Learning recurrent span representations for extractive question answering
K Lee, S Salant, T Kwiatkowski, A Parikh, D Das, J Berant
arXiv preprint arXiv:1611.01436, 2016
1412016
Inherent disagreements in human textual inferences
E Pavlick, T Kwiatkowski
Transactions of the Association for Computational Linguistics 7, 677-694, 2019
1242019
Real-time open-domain question answering with dense-sparse phrase index
M Seo, J Lee, T Kwiatkowski, AP Parikh, A Farhadi, H Hajishirzi
arXiv preprint arXiv:1906.05807, 2019
1212019
Bootstrapping language acquisition
O Abend, T Kwiatkowski, NJ Smith, S Goldwater, M Steedman
Cognition 164, 116-143, 2017
962017
A probabilistic model of syntactic and semantic acquisition from child-directed utterances and their meanings
T Kwiatkowski, M Steedman, L Zettlemoyer, S Goldwater
Proceedings of the 13th Conference of the European Chapter of the ACL (EACL …, 2012
932012
Entities as experts: Sparse memory access with entity supervision
T Févry, LB Soares, N FitzGerald, E Choi, T Kwiatkowski
arXiv preprint arXiv:2004.07202, 2020
922020
Phrase-indexed question answering: A new challenge for scalable document comprehension
M Seo, T Kwiatkowski, AP Parikh, A Farhadi, H Hajishirzi
arXiv preprint arXiv:1804.07726, 2018
492018
Neurips 2020 efficientqa competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021
482021
Scalable semantic parsing with partial ontologies
E Choi, T Kwiatkowski, L Zettlemoyer
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
472015
Morpho-syntactic lexical generalization for CCG semantic parsing
A Wang, T Kwiatkowski, L Zettlemoyer
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
442014
Multi-mention learning for reading comprehension with neural cascades
S Swayamdipta, AP Parikh, T Kwiatkowski
arXiv preprint arXiv:1711.00894, 2017
302017
Decontextualization: Making sentences stand-alone
E Choi, J Palomaki, M Lamm, T Kwiatkowski, D Das, M Collins
Transactions of the Association for Computational Linguistics 9, 447-461, 2021
292021
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