Seguir
Tom Kwiatkowski
Tom Kwiatkowski
Research Scientist, Google
Dirección de correo verificada de google.com
Título
Citado por
Citado por
Año
Natural questions: a benchmark for question answering research
T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ...
22992019
Matching the blanks: Distributional similarity for relation learning
LB Soares, N FitzGerald, J Ling, T Kwiatkowski
arXiv preprint arXiv:1906.03158, 2019
8692019
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
8482019
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
7942023
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
4642020
Scaling Semantic Parsers with On-the-fly Ontology Matching
T Kwiatkowski, E Choi, Y Artzi, L Zettlemoyer
3902013
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
3902010
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
2902011
Inherent disagreements in human textual inferences
E Pavlick, T Kwiatkowski
Transactions of the Association for Computational Linguistics 7, 677-694, 2019
2512019
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
2092016
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
1752019
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
1622016
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
1512020
Bootstrapping language acquisition
O Abend, T Kwiatkowski, NJ Smith, S Goldwater, M Steedman
Cognition 164, 116-143, 2017
1352017
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
1002012
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
772021
Attributed question answering: Evaluation and modeling for attributed large language models
B Bohnet, VQ Tran, P Verga, R Aharoni, D Andor, LB Soares, M Ciaramita, ...
arXiv preprint arXiv:2212.08037, 2022
732022
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
672021
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
602018
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
492014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20