Tom Kwiatkowski
I am a research scientist at Google where I work on computational Natural Language Understanding, with applications in search and question answering. Prior to this, I got my PhD at the University of Edinburgh and I did a Post-Doc at the University of Washington.
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Google
1-Pager: One Pass Answer Generation and Evidence Retrieval
Palak Jain
The 2023 Conference on Empirical Methods in Natural Language Processing (2023) (to appear)
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 (to appear)
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Pat Verga
Jianmo Ni
arXiv (2022)
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network
Jan A. Botha
Dan Bikel
Andrew McCallum
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Association for Computational Linguistics, Online (2021), pp. 278-285
Entities as Experts: Sparse Memory Access with Entity Supervision
Thibault Févry
Eunsol Choi
EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing (to appear)
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Eunsol Choi
Transactions of the Association for Computational Linguistics (2020)
Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking
Thibault Févry
AKBC 2020 - Automated Knowledge Base Construction
Learning Cross-Context Entity Representations from Text
Jeffrey Ling
Zifei Shan
Thibault Févry
arXiv (2020)
Matching the Blanks: Distributional Similarity for Relation Learning
Jeffrey Ling
ACL 2019 - The 57th Annual Meeting of the Association for Computational Linguistics (2019) (to appear)
