Stephen Tratz
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Semantic Web and Ontologies
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Topic Modeling 23
- Natural Language Processing Techniques 22
- Speech and dialogue systems 11
- Semantic Web and Ontologies 6
- Authorship Attribution and Profiling 4
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- Biomedical Text Mining and Ontologies 5
- Co-authors
- Eduard Hovy (8 shared papers)Dirk Hovy (3 shared papers)Clare R. Voss (9 shared papers)Antonio Sanfilippo (9 shared papers)Christian Posse (6 shared papers)Michelle Gregory (6 shared papers)Paul Whitney (3 shared papers)David Traum (2 shared papers)
- Journals
- Language Resources and Evaluation (4 papers)Theory and applications of categories (2 papers)IEEE Transactions on NanoBioscience (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Stephen Tratz
33 papers receiving 438 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 407
- Computer Science Applications 38
- Language and Linguistics 37
- Linguistics and Language 14
- Transportation 17
Countries citing papers authored by Stephen Tratz
This map shows the geographic impact of Stephen Tratz'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 Stephen Tratz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tratz more than expected).
Fields of papers citing papers by Stephen Tratz
This network shows the impact of papers produced by Stephen Tratz. 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 Stephen Tratz. The network helps show where Stephen Tratz may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Tratz, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation | 2010 | 77 |
| 2 | A Fast, Accurate, Non-Projective, Semantically-Enriched Parser | 2011 | 46 |
| 3 | 2014 | 34 | |
| 4 | 2014 | 30 | |
| 5 | 2007 | 30 | |
| 6 | 2009 | 29 | |
| 7 | Summarization Evaluation Using Transformed Basic Elements. | 2008 | 27 |
| 8 | Dialogue-AMR: Abstract Meaning Representation for Dialogue. | 2020 | 27 |
| 9 | What's in a Preposition? Dimensions of Sense Disambiguation for an Interesting Word Class | 2010 | 24 |
| 10 | 2013 | 24 | |
| 11 | 2019 | 13 | |
| 12 | ISI: Automatic Classification of Relations Between Nominals Using a Maximum Entropy Classifier | 2010 | 11 |
| 13 | 2007 | 11 | |
| 14 | Tweet Conversation Annotation Tool with a Focus on an Arabic Dialect, Moroccan Darija | 2013 | 10 |
| 15 | 2008 | 10 | |
| 16 | Automating ontological annotation with WordNet | 2006 | 10 |
| 17 | Automatic Interpretation of the English Possessive | 2013 | 9 |
| 18 | Content analysis for proactive intelligence: marshaling frame evidence | 2007 | 8 |
| 19 | Models and Training for Unsupervised Preposition Sense Disambiguation | 2011 | 7 |
| 20 | 2005 | 7 |
About Stephen Tratz
Stephen Tratz is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Science Applications and Sociology and Political Science, having authored 34 papers that have together received 485 indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (22 papers), Speech and dialogue systems (11 papers), Semantic Web and Ontologies (6 papers), Biomedical Text Mining and Ontologies (5 papers), Authorship Attribution and Profiling (4 papers), Software Engineering Research (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Artificial Intelligence (407 citations), Computer Science Applications (38 citations), Language and Linguistics (37 citations), Linguistics and Language (14 citations) and Transportation (17 citations). Stephen Tratz has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Eduard Hovy, Dirk Hovy, Clare R. Voss, Antonio Sanfilippo, Christian Posse, Michelle Gregory, Paul Whitney, David Traum, Stephanie M. Lukin and Ron Artstein. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories, IEEE Transactions on NanoBioscience, IEEE Journal of Selected Topics in Signal Processing and HAL (Le Centre pour la Communication Scientifique Directe).
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.