Abstract
We describe a method based on “tweaking” an existing learned sequential classifier to change the recall-precision tradeoff, guided by a user-provided performance criterion. This method is evaluated on the task of recognizing personal names in email and newswire text, and proves to be both simple and effective.
| Original language | English |
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| Pages | 93-96 |
| Number of pages | 4 |
| State | Published - 2006 |
| Externally published | Yes |
| Event | 2006 Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, HLT-NAACL 2006 - New York, United States Duration: 4 Jun 2006 → 9 Jun 2006 |
Conference
| Conference | 2006 Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, HLT-NAACL 2006 |
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| Country/Territory | United States |
| City | New York |
| Period | 4/06/06 → 9/06/06 |
Bibliographical note
Publisher Copyright:© 2006 Association for Computational Linguistics
ASJC Scopus subject areas
- Linguistics and Language
- Language and Linguistics
- Computer Science Applications