Eric Brill
Impact in
- Artificial Intelligence top 0.1%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Semantic Web and Ontologies
- Information Systems top 0.1%
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
Papers in
-
- Natural Language Processing Techniques 44
- Speech Recognition and Synthesis 5
- Topic Modeling 5
- Text and Document Classification Technologies 2
- Speech and dialogue systems 2
- Sentiment Analysis and Opinion Mining 1
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- Information Retrieval and Search Behavior 18
- Expert finding and Q&A systems 1
- Co-authors
- Susan Dumais (9 shared papers)Michele Banko (6 shared papers)Eugene Agichtein (6 shared papers)Lidia Mangu (7 shared papers)Andreas Stolcke (2 shared papers)Robert C. Moore (1 shared paper)Radu Soricut (3 shared papers)Jimmy Lin (3 shared papers)
- Journals
- Computer Speech & Language (1 paper)Information Retrieval (1 paper)AI Magazine (1 paper)Information Processing & Management (1 paper)Computational Linguistics (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Eric Brill
63 papers receiving 6.9k citations
Eric Brill's Hit Papers
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 5.4k
- Information Systems 2.5k
- General Social Sciences 67
- Human-Computer Interaction 97
- Computer Science Applications 64
Countries citing papers authored by Eric Brill
This map shows the geographic impact of Eric Brill'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 Eric Brill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Brill more than expected).
Fields of papers citing papers by Eric Brill
This network shows the impact of papers produced by Eric Brill. 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 Eric Brill. The network helps show where Eric Brill may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Brill, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging Hit paper breakdown → | 1995 | 1181 |
| 2 | A simple rule-based part of speech tagger Hit paper breakdown → | 1992 | 1077 |
| 3 | Improving web search ranking by incorporating user behavior information Hit paper breakdown → | 2006 | 802 |
| 4 | 2000 | 511 | |
| 5 | 2001 | 495 | |
| 6 | 2000 | 385 | |
| 7 | Learning user interaction models for predicting web search result preferences Hit paper breakdown → | 2006 | 355 |
| 8 | 1992 | 231 | |
| 9 | 2002 | 228 | |
| 10 | 2002 | 225 | |
| 11 | Data-intensive Question Answering | 2001 | 222 |
| 12 | A corpus-based approach to language learning | 1993 | 197 |
| 13 | 1999 | 182 | |
| 14 | Spelling Correction as an Iterative Process that Exploits the Collective Knowledge of Web Users. | 2004 | 164 |
| 15 | 1994 | 154 | |
| 16 | 1999 | 121 | |
| 17 | 2006 | 116 | |
| 18 | 1998 | 99 | |
| 19 | Automatic Rule Acquisition for Spelling Correction | 1997 | 94 |
| 20 | 2006 | 89 |
About Eric Brill
Eric Brill is a scholar working on Artificial Intelligence, Information Systems, Language and Linguistics, Developmental and Educational Psychology and Computational Theory and Mathematics, having authored 63 papers that have together received 8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (44 papers), Information Retrieval and Search Behavior (18 papers), Speech Recognition and Synthesis (5 papers), Topic Modeling (5 papers), Text and Document Classification Technologies (2 papers), Speech and dialogue systems (2 papers), Expert finding and Q&A systems (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Artificial Intelligence (5.4k citations), Information Systems (2.5k citations), General Social Sciences (67 citations), Human-Computer Interaction (97 citations) and Computer Science Applications (64 citations). Eric Brill has collaborated with scholars based in United States and Italy. Frequent co-authors include Susan Dumais, Michele Banko, Eugene Agichtein, Lidia Mangu, Andreas Stolcke, Robert C. Moore, Radu Soricut, Jimmy Lin, Robert J. Ragno and Silviu Cucerzan. Their work appears in journals such as Computer Speech & Language, Information Retrieval, AI Magazine, Information Processing & Management and Computational Linguistics.
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.