Dan Roth
Impact in
- Artificial Intelligence top 0.02%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Machine Learning and Algorithms
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 321
- Natural Language Processing Techniques 303
- Machine Learning and Algorithms 74
- Semantic Web and Ontologies 53
- Advanced Text Analysis Techniques 46
- Bayesian Modeling and Causal Inference 37
- Speech and dialogue systems 36
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- Multimodal Machine Learning Applications 37
- Co-authors
- Lev Ratinov (7 shared papers)Wen-tau Yih (16 shared papers)Xin Li (1 shared paper)Vasin Punyakanok (19 shared papers)Alla Rozovskaya (18 shared papers)Shivani Agarwal (6 shared papers)Jeff Pasternack (7 shared papers)Sugandha Agarwal (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (10 papers)Machine Learning (10 papers)Theory and applications of categories (7 papers)Language Resources and Evaluation (6 papers)Artificial Intelligence (6 papers)
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
Dan Roth
483 papers receiving 18.0k citations
Dan Roth's Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 16.1k
- Computer Vision and Pattern Recognition 3.3k
- Management Science and Operations Research 1.4k
- Information Systems 2.5k
- Computer Science Applications 484
Countries citing papers authored by Dan Roth
This map shows the geographic impact of Dan Roth'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 Dan Roth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Roth more than expected).
Fields of papers citing papers by Dan Roth
This network shows the impact of papers produced by Dan Roth. 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 Dan Roth. The network helps show where Dan Roth may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Roth, 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 509 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design challenges and misconceptions in named entity recognition Hit paper breakdown → | 2009 | 1044 |
| 2 | Learning question classifiers Hit paper breakdown → | 2002 | 920 |
| 3 | Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey Hit paper breakdown → | 2023 | 687 |
| 4 | Learning to detect objects in images via a sparse, part-based representation Hit paper breakdown → | 2004 | 650 |
| 5 | Emotions from text Hit paper breakdown → | 2005 | 615 |
| 6 | 2002 | 403 | |
| 7 | Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach Hit paper breakdown → | 2019 | 323 |
| 8 | A Linear Programming Formulation for Global Inference in Natural Language Tasks | 2004 | 320 |
| 9 | 2008 | 273 | |
| 10 | A SNoW-Based Face Detector | 1999 | 253 |
| 11 | 1999 | 232 | |
| 12 | 2005 | 212 | |
| 13 | 2018 | 206 | |
| 14 | 2007 | 204 | |
| 15 | Knowing What to Believe (when you already know something) | 2010 | 201 |
| 16 | 2008 | 193 | |
| 17 | 2015 | 181 | |
| 18 | Generalization Bounds for the Area Under the ROC Curve | 2005 | 164 |
| 19 | Importance of semantic representation: dataless classification | 2008 | 159 |
| 20 | 2017 | 156 |
About Dan Roth
Dan Roth is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research and Molecular Biology, having authored 509 papers that have together received 19.6k indexed citations. Recurring topics across this work include Topic Modeling (321 papers), Natural Language Processing Techniques (303 papers), Machine Learning and Algorithms (74 papers), Semantic Web and Ontologies (53 papers), Advanced Text Analysis Techniques (46 papers), Bayesian Modeling and Causal Inference (37 papers), Multimodal Machine Learning Applications (37 papers) and Speech and dialogue systems (36 papers). The work is most often cited by research in Artificial Intelligence (16.1k citations), Computer Vision and Pattern Recognition (3.3k citations), Management Science and Operations Research (1.4k citations), Information Systems (2.5k citations) and Computer Science Applications (484 citations). Dan Roth has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Lev Ratinov, Wen-tau Yih, Xin Li, Vasin Punyakanok, Alla Rozovskaya, Shivani Agarwal, Jeff Pasternack, Sugandha Agarwal, Ming‐Wei Chang and Cecilia Ovesdotter Alm. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Machine Learning, Theory and applications of categories, Language Resources and Evaluation and 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.