Tom Kwiatkowski
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 21
- Topic Modeling 19
- Speech and dialogue systems 7
- Explainable Artificial Intelligence (XAI) 2
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- Web Data Mining and Analysis 1
- Co-authors
- Michael Collins (3 shared papers)Luke Zettlemoyer (8 shared papers)Jennimaria Palomaki (2 shared papers)Kristina Toutanova (2 shared papers)Ming‐Wei Chang (2 shared papers)Kenton Lee (2 shared papers)Eunsol Choi (3 shared papers)Mark Steedman (5 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (4 papers)The Journal of Physiology (1 paper)Cognition (1 paper)Edinburgh Research Explorer (1 paper)Meeting of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Tom Kwiatkowski
22 papers receiving 2.1k citations
Tom Kwiatkowski's Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 2.0k
- Computer Vision and Pattern Recognition 669
- Information Systems 276
- Health Informatics 12
- General Social Sciences 15
Countries citing papers authored by Tom Kwiatkowski
This map shows the geographic impact of Tom Kwiatkowski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tom Kwiatkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Kwiatkowski more than expected).
Fields of papers citing papers by Tom Kwiatkowski
This network shows the impact of papers produced by Tom Kwiatkowski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tom Kwiatkowski. The network helps show where Tom Kwiatkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Kwiatkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Natural Questions: A Benchmark for Question Answering Research Hit paper breakdown → | 2019 | 1123 |
| 2 | 2020 | 200 | |
| 3 | 2013 | 163 | |
| 4 | 2019 | 162 | |
| 5 | 2019 | 123 | |
| 6 | Lexical Generalization in CCG Grammar Induction for Semantic Parsing | 2011 | 123 |
| 7 | 2016 | 98 | |
| 8 | 2017 | 51 | |
| 9 | A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings | 2012 | 49 |
| 10 | 2018 | 25 | |
| 11 | 2014 | 24 | |
| 12 | 2022 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2012 | 12 | |
| 15 | Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking | 2020 | 6 |
| 16 | 2013 | 6 | |
| 17 | 2023 | 2 | |
| 18 | Inherent Disagreements in Human Textual Inferences | 2020 | 2 |
| 19 | Learning Entity Representations for Few-Shot Reconstruction of Wikipedia Categories | 2019 | 2 |
| 20 | 2024 | 1 |
About Tom Kwiatkowski
Tom Kwiatkowski is a scholar working on Artificial Intelligence, Information Systems, Communication, Molecular Biology and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers), Speech and dialogue systems (7 papers), Wikis in Education and Collaboration (2 papers), Language Development and Disorders (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Multimodal Machine Learning Applications (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (669 citations), Information Systems (276 citations), Health Informatics (12 citations) and General Social Sciences (15 citations). Tom Kwiatkowski has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael Collins, Luke Zettlemoyer, Jennimaria Palomaki, Kristina Toutanova, Ming‐Wei Chang, Kenton Lee, Eunsol Choi, Mark Steedman, Ankur P. Parikh and Ellie Pavlick. Their work appears in journals such as Transactions of the Association for Computational Linguistics, The Journal of Physiology, Cognition, Edinburgh Research Explorer and Meeting of the Association for Computational Linguistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.