Eric Brill
Impact in
- Artificial Intelligence top 0.1%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Information Systems top 0.2%
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
Papers in
-
- Natural Language Processing Techniques 48
- Topic Modeling 38
- Speech and dialogue systems 15
- Algorithms and Data Compression 13
- Text and Document Classification Technologies 8
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- Web Data Mining and Analysis 9
- Information Retrieval and Search Behavior 7
- Recommender Systems and Techniques 5
- Co-authors
- Susan Dumais (10 shared papers)Michele Banko (6 shared papers)Eugene Agichtein (6 shared papers)Lidia Mangu (6 shared papers)Andreas Stolcke (2 shared papers)Robert C. Moore (1 shared paper)Jimmy Lin (3 shared papers)Andrew Y. Ng (3 shared papers)
- Journals
- Information Retrieval (1 paper)ACM SIGIR Forum (1 paper)Information Processing & Management (1 paper)Computer Speech & Language (1 paper)AI Magazine (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Eric Brill
66 papers receiving 7.1k citations
Eric Brill's Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 6.7k
- Information Systems 2.4k
- Signal Processing 701
- Computer Vision and Pattern Recognition 832
- Computer Science Applications 196
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 66 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 | 1209 |
| 2 | A simple rule-based part of speech tagger Hit paper breakdown → | 1992 | 1114 |
| 3 | Improving web search ranking by incorporating user behavior information Hit paper breakdown → | 2006 | 817 |
| 4 | Scaling to very very large corpora for natural language disambiguation Hit paper breakdown → | 2001 | 505 |
| 5 | 2000 | 497 | |
| 6 | 2000 | 381 | |
| 7 | Learning user interaction models for predicting web search result preferences Hit paper breakdown → | 2006 | 365 |
| 8 | 2002 | 237 | |
| 9 | 1992 | 233 | |
| 10 | 2002 | 231 | |
| 11 | Data-intensive Question Answering | 2001 | 224 |
| 12 | 1994 | 212 | |
| 13 | A corpus-based approach to language learning | 1993 | 210 |
| 14 | 1999 | 180 | |
| 15 | Spelling Correction as an Iterative Process that Exploits the Collective Knowledge of Web Users. | 2004 | 167 |
| 16 | 1994 | 154 | |
| 17 | 2006 | 124 | |
| 18 | 1999 | 121 | |
| 19 | 1998 | 101 | |
| 20 | Automatic Rule Acquisition for Spelling Correction | 1997 | 97 |
About Eric Brill
Eric Brill is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Statistical and Nonlinear Physics and Developmental and Educational Psychology, having authored 66 papers that have together received 8.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (48 papers), Topic Modeling (38 papers), Speech and dialogue systems (15 papers), Algorithms and Data Compression (13 papers), Web Data Mining and Analysis (9 papers), Text and Document Classification Technologies (8 papers), Information Retrieval and Search Behavior (7 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (6.7k citations), Information Systems (2.4k citations), Signal Processing (701 citations), Computer Vision and Pattern Recognition (832 citations) and Computer Science Applications (196 citations). Eric Brill has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Susan Dumais, Michele Banko, Eugene Agichtein, Lidia Mangu, Andreas Stolcke, Robert C. Moore, Jimmy Lin, Andrew Y. Ng, Robert Ragno and Radu Soricut. Their work appears in journals such as Information Retrieval, ACM SIGIR Forum, Information Processing & Management, Computer Speech & Language and AI Magazine.
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.