Thomas Morton
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
-
- Natural Language Processing Techniques 6
- Semantic Web and Ontologies 5
- Topic Modeling 5
- Speech and dialogue systems 2
-
- Language, Discourse, Communication Strategies 1
- Co-authors
- Breck Baldwin (2 shared papers)Jason Baldridge (1 shared paper)Magdalena Wolska (1 shared paper)Alexis Dimitriadis (1 shared paper)Amit Bagga (1 shared paper)
- Journals
- Applied Linguistics (1 paper)Medical Entomology and Zoology (2 papers)The Journal of the Abraham Lincoln Association (1 paper)Text REtrieval Conference (1 paper)Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Thomas Morton
11 papers receiving 209 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 220
- Information Systems 32
- Management Science and Operations Research 13
- Anthropology 9
- Literature and Literary Theory 10
Countries citing papers authored by Thomas Morton
This map shows the geographic impact of Thomas Morton'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 Thomas Morton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Morton more than expected).
Fields of papers citing papers by Thomas Morton
This network shows the impact of papers produced by Thomas Morton. 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 Thomas Morton. The network helps show where Thomas Morton may publish in the future.
Co-authors
The 5 scholars most cited alongside Thomas Morton, 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 | 2000 | 55 | |
| 2 | Dynamic Coreference-Based Summarization | 1998 | 53 |
| 3 | 2003 | 50 | |
| 4 | 2013 | 36 | |
| 5 | Using Coreference for Question Answering | 1999 | 25 |
| 6 | New English Canaan | 2001 | 20 |
| 7 | 1999 | 14 | |
| 8 | Description of the UPENN CAMP System as Used for Coreference. | 1998 | 10 |
| 9 | Plays by George Colman the Younger and Thomas Morton | 1983 | 6 |
| 10 | Using Coreference to Improve Passage Retrieval for Question Answering | 1999 | 1 |
| 11 | 2006 | 1 |
About Thomas Morton
Thomas Morton is a scholar working on Artificial Intelligence, Language and Linguistics, Literature and Literary Theory, Experimental and Cognitive Psychology and Software, having authored 11 papers that have together received 271 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Semantic Web and Ontologies (5 papers), Topic Modeling (5 papers), Speech and dialogue systems (2 papers), Discourse Analysis in Language Studies (1 paper), Language, Metaphor, and Cognition (1 paper), Language, Discourse, Communication Strategies (1 paper) and Model-Driven Software Engineering Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (220 citations), Information Systems (32 citations), Management Science and Operations Research (13 citations), Anthropology (9 citations) and Literature and Literary Theory (10 citations). Thomas Morton has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Breck Baldwin, Jason Baldridge, Magdalena Wolska, Alexis Dimitriadis and Amit Bagga. Their work appears in journals such as Applied Linguistics, Medical Entomology and Zoology, The Journal of the Abraham Lincoln Association, Text REtrieval Conference and Empirical Methods in Natural Language Processing.
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.