Ralph Grishman
Impact in
- Artificial Intelligence top 0.05%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Information Systems top 0.2%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 173
- Topic Modeling 144
- Semantic Web and Ontologies 47
- Speech and dialogue systems 28
- Advanced Text Analysis Techniques 26
-
- Web Data Mining and Analysis 16
- Co-authors
- Thien Huu Nguyen (13 shared papers)Beth Sundheim (4 shared papers)Heng Ji (6 shared papers)Satoshi Sekine (16 shared papers)Andrew Borthwick (5 shared papers)Roman Yangarber (19 shared papers)Adam Meyers (28 shared papers)Catherine Macleod (26 shared papers)
- Journals
- Language Resources and Evaluation (12 papers)Theory and applications of categories (3 papers)Computational Linguistics (2 papers)The Journal of Chemical Physics (2 papers)AI Magazine (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Ralph Grishman
235 papers receiving 7.5k citations
Ralph Grishman's Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 7.9k
- Information Systems 1.6k
- Management Science and Operations Research 767
- Signal Processing 236
- Computer Vision and Pattern Recognition 417
Countries citing papers authored by Ralph Grishman
This map shows the geographic impact of Ralph Grishman'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 Ralph Grishman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Grishman more than expected).
Fields of papers citing papers by Ralph Grishman
This network shows the impact of papers produced by Ralph Grishman. 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 Ralph Grishman. The network helps show where Ralph Grishman may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralph Grishman, 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 246 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Message Understanding Conference-6 Hit paper breakdown → | 1996 | 770 |
| 2 | Joint Event Extraction via Recurrent Neural Networks Hit paper breakdown → | 2016 | 380 |
| 3 | A maximum entropy approach to named entity recognition | 1999 | 331 |
| 4 | Relation Extraction: Perspective from Convolutional Neural Networks Hit paper breakdown → | 2015 | 291 |
| 5 | Refining Event Extraction through Cross-Document Inference | 2008 | 279 |
| 6 | 2015 | 252 | |
| 7 | 2004 | 251 | |
| 8 | Overview of the TAC 2010 Knowledge Base Population Track | 2010 | 251 |
| 9 | 2018 | 224 | |
| 10 | The NomBank Project: An Interim Report | 2004 | 203 |
| 11 | 2005 | 202 | |
| 12 | Using Document Level Cross-Event Inference to Improve Event Extraction | 2010 | 199 |
| 13 | Knowledge Base Population: Successful Approaches and Challenges | 2011 | 196 |
| 14 | 2000 | 169 | |
| 15 | 1994 | 147 | |
| 16 | NYU: Description of the MENE Named Entity System as Used in MUC-7 | 1998 | 143 |
| 17 | Exploiting diverse knowledge sources via maximum entropy in named entity recognition | 1998 | 138 |
| 18 | Distant Supervision for Relation Extraction with an Incomplete Knowledge Base | 2013 | 135 |
| 19 | NYU's English ACE 2005 System Description | 2005 | 129 |
| 20 | NOMLEX: a lexicon of nominalizations | 1998 | 91 |
About Ralph Grishman
Ralph Grishman is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Language and Linguistics and Molecular Biology, having authored 246 papers that have together received 8.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (173 papers), Topic Modeling (144 papers), Semantic Web and Ontologies (47 papers), Speech and dialogue systems (28 papers), Advanced Text Analysis Techniques (26 papers), Data Quality and Management (19 papers), Web Data Mining and Analysis (16 papers) and Lexicography and Language Studies (14 papers). The work is most often cited by research in Artificial Intelligence (7.9k citations), Information Systems (1.6k citations), Management Science and Operations Research (767 citations), Signal Processing (236 citations) and Computer Vision and Pattern Recognition (417 citations). Ralph Grishman has collaborated with scholars based in United States, China and France. Frequent co-authors include Thien Huu Nguyen, Beth Sundheim, Heng Ji, Satoshi Sekine, Andrew Borthwick, Roman Yangarber, Adam Meyers, Catherine Macleod, John Sterling and Shasha Liao. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories, Computational Linguistics, The Journal of Chemical Physics 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.