A Maximum Entropy Model for Part-Of-Speech Tagging
Impact in
Classified as
- Authors
- Adwait Ratnaparkhi
- Journal
- Empirical Methods in Natural Language Processing
In The Last Decade
doi.org/w6009031 →Countries where authors are citing A Maximum Entropy Model for Part-Of-Speech Tagging
This map shows the geographic impact of A Maximum Entropy Model for Part-Of-Speech Tagging. 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 A Maximum Entropy Model for Part-Of-Speech Tagging with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Maximum Entropy Model for Part-Of-Speech Tagging more than expected).
Fields of papers citing A Maximum Entropy Model for Part-Of-Speech Tagging
This network shows the impact of A Maximum Entropy Model for Part-Of-Speech Tagging. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A Maximum Entropy Model for Part-Of-Speech Tagging.
About A Maximum Entropy Model for Part-Of-Speech Tagging
This paper, published in 1996, received 838 indexed citations . Written by Adwait Ratnaparkhi covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (768 citations), Information Systems (93 citations), Computer Vision and Pattern Recognition (79 citations), Molecular Biology (71 citations) and Language and Linguistics (31 citations). Published in Empirical Methods in Natural Language Processing.
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This paper is also available at doi.org/w6009031.