David K. Elson
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 12
- Topic Modeling 10
- Speech and dialogue systems 3
- Semantic Web and Ontologies 3
- Speech Recognition and Synthesis 2
- General Social Sciences top 2%
- Literature and Literary Theory top 10%
- Digital Humanities and Scholarship 2
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- Video Analysis and Summarization 4
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- Web Data Mining and Analysis 2
- Co-authors
- Kathleen McKeownNicholas DamesAni NenkovaRebecca J. PassonneauJulia HirschbergJudith L. KlavansPetar AleksicCyril Allauzen
- Journals
- Language Resources and Evaluation (2 papers)North American Chapter of the Association for Computational Linguistics (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
David K. Elson
18 papers receiving 442 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 421
- General Social Sciences 25
- Literature and Literary Theory 47
- Statistical and Nonlinear Physics 49
- Signal Processing 38
Countries citing papers authored by David K. Elson
This map shows the geographic impact of David K. Elson'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 David K. Elson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Elson more than expected).
Fields of papers citing papers by David K. Elson
This network shows the impact of papers produced by David K. Elson. 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 David K. Elson. The network helps show where David K. Elson may publish in the future.
Co-authorship network
The 19 scholars most cited alongside David K. Elson, 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 | 2015 | 1 | |
| 2 | 2015 | 31 | |
| 3 | 2014 | 5 | |
| 4 | Proceedings of the NAACL-HLT 2012 Workshop on Computational Linguistics for Literature | 2012 | 19 |
| 5 | DramaBank: Annotating Agency in Narrative Discourse | 2012 | 27 |
| 6 | Tense and aspect assignment in narrative discourse | 2010 | 7 |
| 7 | 2010 | 28 | |
| 8 | 2010 | 70 | |
| 9 | 2010 | 164 | |
| 10 | 2010 | 13 | |
| 11 | 2009 | 15 | |
| 12 | 2009 | 7 | |
| 13 | 2008 | 4 | |
| 14 | 2007 | 5 | |
| 15 | A Platform for Symbolically Encoding Human Narratives. | 2007 | 17 |
| 16 | 2005 | 52 | |
| 17 | 2003 | 22 | |
| 18 | 2003 | 15 |
About David K. Elson
David K. Elson is a scholar working on Artificial Intelligence, Literature and Literary Theory, Computer Vision and Pattern Recognition, Geology and Information Systems, having authored 18 papers that have together received 502 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (10 papers), Video Analysis and Summarization (4 papers), Speech and dialogue systems (3 papers), Semantic Web and Ontologies (3 papers), Digital Humanities and Scholarship (2 papers), Speech Recognition and Synthesis (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (421 citations), General Social Sciences (25 citations), Literature and Literary Theory (47 citations), Statistical and Nonlinear Physics (49 citations) and Signal Processing (38 citations). David K. Elson has collaborated with scholars based in United States and Canada. Frequent co-authors include Kathleen McKeown, Nicholas Dames, Ani Nenkova, Rebecca J. Passonneau, Julia Hirschberg, Judith L. Klavans, Petar Aleksic, Cyril Allauzen, Rada Mihalcea and Pedro J. Moreno. Their work appears in journals such as Language Resources and Evaluation, North American Chapter of the Association for Computational Linguistics, Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Proceedings of the AAAI Conference on Artificial Intelligence and Columbia Academic Commons (Columbia University).
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.