Steven Bethard
- Artificial Intelligence top 0.05%
- Topic Modeling 106
- Natural Language Processing Techniques 87
- Advanced Text Analysis Techniques 19
- Semantic Web and Ontologies 17
- Machine Learning in Healthcare 11
- Speech and dialogue systems 10
- Sentiment Analysis and Opinion Mining 8
- Information Systems top 0.5%
- Signal Processing top 1%
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- Biomedical Text Mining and Ontologies 35
- Co-authors
- Mihai SurdeanuChristopher D. ManningJohn BauerDavid McCloskyJenny Rose FinkelGuergana SavovaJames MartinMarie‐Francine Moens
- Journals
- Language Resources and Evaluation (5 papers)Journal of the American Medical Informatics Association (5 papers)Transactions of the Association for Computational Linguistics (4 papers)
- Partner nations
- United StatesBelgiumMexico
In The Last Decade
Steven Bethard
137 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 6.6k
- Information Systems 1.4k
- Signal Processing 521
- Computer Vision and Pattern Recognition 848
- Management Science and Operations Research 432
Countries citing papers authored by Steven Bethard
This map shows the geographic impact of Steven Bethard'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 Steven Bethard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Bethard more than expected).
Fields of papers citing papers by Steven Bethard
This network shows the impact of papers produced by Steven Bethard. 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 Steven Bethard. The network helps show where Steven Bethard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven Bethard, 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 | 2024 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 0 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 16 | |
| 6 | 2017 | 65 | |
| 7 | 2017 | 10 | |
| 8 | 2016 | 132 | |
| 9 | A Semantically Compositional Annotation Scheme for Time Normalization | 2016 | 16 |
| 10 | Facing the most difficult case of semantic role labeling: A collaboration of word embeddings and co-training | 2016 | 3 |
| 11 | 2014 | 94 | |
| 12 | 2013 | 18 | |
| 13 | Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processingbreakdown → | 2013 | 367 |
| 14 | SemEval-2013 Task 3: Spatial Role Labeling | 2013 | 23 |
| 15 | CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding | 2013 | 5 |
| 16 | Identifying science concepts and student misconceptions in an interactive essay writing tutor | 2012 | 7 |
| 17 | Crowdsourcing and language studies: the new generation of linguistic data | 2010 | 94 |
| 18 | Building a Corpus of Temporal-Causal Structure. | 2008 | 33 |
| 19 | Automatic Extraction of Opinion Propositions and their Holders | 2004 | 111 |
| 20 | Building a Foundation System for Producing Short Answers to Factual Questions. | 2002 | 6 |
About Steven Bethard
Steven Bethard is a scholar working on Artificial Intelligence, Communication, Information Systems, Signal Processing and Geography, Planning and Development, having authored 147 papers that have together received 8.3k indexed citations. Recurring topics across this work include Topic Modeling (106 papers), Natural Language Processing Techniques (87 papers), Biomedical Text Mining and Ontologies (35 papers), Advanced Text Analysis Techniques (19 papers), Semantic Web and Ontologies (17 papers), Machine Learning in Healthcare (11 papers), Speech and dialogue systems (10 papers) and Sentiment Analysis and Opinion Mining (8 papers). The work is most often cited by research in Artificial Intelligence (6.6k citations), Information Systems (1.4k citations), Signal Processing (521 citations), Computer Vision and Pattern Recognition (848 citations) and Management Science and Operations Research (432 citations). Steven Bethard has collaborated with scholars based in United States, Belgium and Mexico. Frequent co-authors include Mihai Surdeanu, Christopher D. Manning, John Bauer, David McClosky, Jenny Rose Finkel, Guergana Savova, James Martin, Marie‐Francine Moens, Dan Jurafsky and Tamara Sumner. Their work appears in journals such as Language Resources and Evaluation, Journal of the American Medical Informatics Association, Transactions of the Association for Computational Linguistics, Journal of Biomedical Informatics and Journal of Communication.
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.