Eugene Charniak
Impact in
- Artificial Intelligence top 0.05%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Semantic Web and Ontologies
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- AI-based Problem Solving and Planning
- Language and Linguistics top 1%
Papers in
-
- Natural Language Processing Techniques 95
- Topic Modeling 81
- Speech and dialogue systems 38
- AI-based Problem Solving and Planning 16
- Semantic Web and Ontologies 14
- Algorithms and Data Compression 14
- Bayesian Modeling and Causal Inference 14
- Logic, Reasoning, and Knowledge 11
- Co-authors
- Mark Johnson (20 shared papers)David McClosky (10 shared papers)Robert P. Goldman (11 shared papers)Micha Elsner (10 shared papers)Matthew Berland (1 shared paper)SW (1 shared paper)Dmitriy Genzel (3 shared papers)Matthew Lease (10 shared papers)
- Journals
- Cognitive Science (6 papers)Artificial Intelligence (6 papers)AI Magazine (2 papers)Computational Linguistics (2 papers)ACM Computing Surveys (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Eugene Charniak
139 papers receiving 8.4k citations
Eugene Charniak's Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 8.6k
- Language and Linguistics 526
- Computer Vision and Pattern Recognition 690
- Information Systems 683
- Experimental and Cognitive Psychology 355
Countries citing papers authored by Eugene Charniak
This map shows the geographic impact of Eugene Charniak'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 Eugene Charniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Charniak more than expected).
Fields of papers citing papers by Eugene Charniak
This network shows the impact of papers produced by Eugene Charniak. 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 Eugene Charniak. The network helps show where Eugene Charniak may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Charniak, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Maximum-Entropy-Inspired Parser Hit paper breakdown → | 1999 | 1180 |
| 2 | Coarse-to-fine n-best parsing and MaxEnt discriminative reranking Hit paper breakdown → | 2005 | 705 |
| 3 | Statistical Language Learning Hit paper breakdown → | 1994 | 607 |
| 4 | Effective self-training for parsing Hit paper breakdown → | 2006 | 431 |
| 5 | Statistical parsing with a context-free grammar and word statistics | 1997 | 378 |
| 6 | 1999 | 365 | |
| 7 | 1993 | 338 | |
| 8 | 1994 | 293 | |
| 9 | 2001 | 225 | |
| 10 | Tree-bank Grammars | 1996 | 200 |
| 11 | A Statistical Approach to Anaphora Resolution | 1998 | 177 |
| 12 | 1997 | 175 | |
| 13 | 2006 | 174 | |
| 14 | 1983 | 139 | |
| 15 | Equations for part-of-speech tagging | 1993 | 131 |
| 16 | 2001 | 126 | |
| 17 | 2005 | 120 | |
| 18 | 2001 | 118 | |
| 19 | Two Experiments on Learning Probabilistic Dependency Grammars from Corpora | 1992 | 113 |
| 20 | 1998 | 111 |
About Eugene Charniak
Eugene Charniak is a scholar working on Artificial Intelligence, Language and Linguistics, Computer Vision and Pattern Recognition, Molecular Biology and Information Systems, having authored 142 papers that have together received 9.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (95 papers), Topic Modeling (81 papers), Speech and dialogue systems (38 papers), AI-based Problem Solving and Planning (16 papers), Semantic Web and Ontologies (14 papers), Algorithms and Data Compression (14 papers), Bayesian Modeling and Causal Inference (14 papers) and Logic, Reasoning, and Knowledge (11 papers). The work is most often cited by research in Artificial Intelligence (8.6k citations), Language and Linguistics (526 citations), Computer Vision and Pattern Recognition (690 citations), Information Systems (683 citations) and Experimental and Cognitive Psychology (355 citations). Eugene Charniak has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Mark Johnson, David McClosky, Robert P. Goldman, Micha Elsner, Matthew Berland, SW, Dmitriy Genzel, Matthew Lease, Solomon Eyal Shimony and Glenn R. Carroll. Their work appears in journals such as Cognitive Science, Artificial Intelligence, AI Magazine, Computational Linguistics and ACM Computing Surveys.
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.