Chloé Kiddon
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
- Video Analysis and Summarization
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 5
- Semantic Web and Ontologies 2
- Bayesian Modeling and Causal Inference 2
- Authorship Attribution and Profiling 1
- Machine Learning and Algorithms 1
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- Machine Learning in Bioinformatics 1
- Co-authors
- Luke Zettlemoyer (2 shared papers)Yejin Choi (2 shared papers)Yuriy Brun (1 shared paper)Pedro Domingos (3 shared papers)Marie-Catherine de Marneffe (2 shared papers)Christopher D. Manning (2 shared papers)Daniel Cer (2 shared papers)Daniel Ramage (2 shared papers)
- Journals
- North American Chapter of the Association for Computational Linguistics (1 paper)Meeting of the Association for Computational Linguistics (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)National Conference on Artificial Intelligence (2 papers)
- Partner nations
- United States
In The Last Decade
Chloé Kiddon
8 papers receiving 275 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 239
- Computer Vision and Pattern Recognition 85
- Information Systems 43
- Social Psychology 30
- Visual Arts and Performing Arts 6
Countries citing papers authored by Chloé Kiddon
This map shows the geographic impact of Chloé Kiddon'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 Chloé Kiddon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chloé Kiddon more than expected).
Fields of papers citing papers by Chloé Kiddon
This network shows the impact of papers produced by Chloé Kiddon. 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 Chloé Kiddon. The network helps show where Chloé Kiddon may publish in the future.
Co-authors
The 25 scholars most cited alongside Chloé Kiddon, 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 | 2016 | 118 | |
| 2 | 2007 | 54 | |
| 3 | 2015 | 51 | |
| 4 | That's What She Said: Double Entendre Identification | 2011 | 43 |
| 5 | Machine Reading at the University of Washington | 2010 | 22 |
| 6 | 2011 | 9 | |
| 7 | Robust Graph Alignment Methods for Textual Inference and Machine Reading. | 2007 | 2 |
| 8 | Leveraging ontologies for lifted probabilistic inference and learning | 2010 | 2 |
About Chloé Kiddon
Chloé Kiddon is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Communication and Infectious Diseases, having authored 8 papers that have together received 301 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Semantic Web and Ontologies (2 papers), Bayesian Modeling and Causal Inference (2 papers), Authorship Attribution and Profiling (1 paper), Machine Learning and Algorithms (1 paper), Machine Learning in Bioinformatics (1 paper) and Swearing, Euphemism, Multilingualism (1 paper). The work is most often cited by research in Artificial Intelligence (239 citations), Computer Vision and Pattern Recognition (85 citations), Information Systems (43 citations), Social Psychology (30 citations) and Visual Arts and Performing Arts (6 citations). Chloé Kiddon has collaborated with scholars based in United States. Frequent co-authors include Luke Zettlemoyer, Yejin Choi, Yuriy Brun, Pedro Domingos, Marie-Catherine de Marneffe, Christopher D. Manning, Daniel Cer, Daniel Ramage, Trond Grenager and Bill MacCartney. Their work appears in journals such as North American Chapter of the Association for Computational Linguistics, Meeting of the Association for Computational Linguistics, Proceedings of the AAAI Conference on Artificial Intelligence and National Conference on Artificial Intelligence.
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.