Kellie Webster
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Hate Speech and Cyberbullying Detection
- Text Readability and Simplification
- Adversarial Robustness in Machine Learning
Papers in
-
- Topic Modeling 9
- Natural Language Processing Techniques 8
- Text Readability and Simplification 4
- Hate Speech and Cyberbullying Detection 3
- Speech and dialogue systems 2
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- Disability Rights and Representation 1
- Co-authors
- Ben Hutchinson (2 shared papers)Yu Zhong (2 shared papers)Vinodkumar Prabhakaran (2 shared papers)Emily Denton (2 shared papers)Vera Axelrod (2 shared papers)Jason Baldridge (1 shared paper)Marta Vilar Recasens (1 shared paper)Daniel Andor (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)International Conference on Computational Linguistics (1 paper)ACM SIGACCESS Accessibility and Computing (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)Edinburgh Research Explorer (1 paper)
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Kellie Webster
11 papers receiving 347 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 29
- Artificial Intelligence 282
- Safety Research 56
- General Social Sciences 18
- Computer Science Applications 15
Countries citing papers authored by Kellie Webster
This map shows the geographic impact of Kellie Webster'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 Kellie Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kellie Webster more than expected).
Fields of papers citing papers by Kellie Webster
This network shows the impact of papers produced by Kellie Webster. 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 Kellie Webster. The network helps show where Kellie Webster may publish in the future.
Co-authors
The 24 scholars most cited alongside Kellie Webster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 168 | |
| 2 | 2018 | 129 | |
| 3 | 2020 | 39 | |
| 4 | 2018 | 10 | |
| 5 | 2019 | 9 | |
| 6 | 2022 | 8 | |
| 7 | Limited memory incremental coreference resolution | 2014 | 6 |
| 8 | 2021 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2016 | 1 | |
| 11 | Examining the Impact of Coreference Resolution on Quote Attribution | 2013 | 1 |
About Kellie Webster
Kellie Webster is a scholar working on Artificial Intelligence, Safety Research, Information Systems, Law and Management Science and Operations Research, having authored 11 papers that have together received 374 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers), Text Readability and Simplification (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Speech and dialogue systems (2 papers), Disability Rights and Representation (1 paper), Judicial and Constitutional Studies (1 paper) and Expert finding and Q&A systems (1 paper). The work is most often cited by research in Health Informatics (29 citations), Artificial Intelligence (282 citations), Safety Research (56 citations), General Social Sciences (18 citations) and Computer Science Applications (15 citations). Kellie Webster has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Ben Hutchinson, Yu Zhong, Vinodkumar Prabhakaran, Emily Denton, Vera Axelrod, Jason Baldridge, Marta Vilar Recasens, Daniel Andor, Emily Pitler and Ali Elkahky. Their work appears in journals such as Transactions of the Association for Computational Linguistics, International Conference on Computational Linguistics, ACM SIGACCESS Accessibility and Computing, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Edinburgh Research Explorer.
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.