Tom Kwiatkowski
Tom Kwiatkowski
Research Scientist, Google
Verified email at google.com
Title
Cited by
Cited by
Year
Scaling Semantic Parsers with On-the-fly Ontology Matching
T Kwiatkowski, E Choi, Y Artzi, L Zettlemoyer
3012013
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
2992010
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
2092011
Natural questions: a benchmark for question answering research
T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ...
1532019
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
1232016
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
982016
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
872012
Bootstrapping language acquisition
O Abend, T Kwiatkowski, NJ Smith, S Goldwater, M Steedman
Cognition 164, 116-143, 2017
472017
Scalable semantic parsing with partial ontologies
E Choi, T Kwiatkowski, L Zettlemoyer
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
372015
Matching the blanks: Distributional similarity for relation learning
LB Soares, N FitzGerald, J Ling, T Kwiatkowski
arXiv preprint arXiv:1906.03158, 2019
342019
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
332019
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
252014
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
232019
Using syntactic and confusion network structure for out-of-vocabulary word detection
A Marin, T Kwiatkowski, M Ostendorf, L Zettlemoyer
2012 IEEE Spoken Language Technology Workshop (SLT), 159-164, 2012
212012
“Can you give me another word for hyperbaric?”: Improving speech translation using targeted clarification questions
NF Ayan, A Mandal, M Frandsen, J Zheng, P Blasco, A Kathol, F Béchet, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
182013
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
162018
Multi-mention learning for reading comprehension with neural cascades
S Swayamdipta, AP Parikh, T Kwiatkowski
arXiv preprint arXiv:1711.00894, 2017
152017
Inherent disagreements in human textual inferences
E Pavlick, T Kwiatkowski
Transactions of the Association for Computational Linguistics 7, 677-694, 2019
72019
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, ...
arXiv preprint arXiv:2003.05002, 2020
62020
Computational grammar acquisition from childes data using a probabilistic parsing model
T Kwiatkowski, M Steedman
Psychocomputational Models of Human Language Acquisition (PsychoCompLA), 2009
62009
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Articles 1–20