NER systems that suit user's preferences: adjusting the recall-precision trade-off for entity extraction

Authors:
Einat Minkov;Richard C. Wang;Anthony Tomasic;William W. Cohen
Affiliations:
Carnegie Mellon University;Carnegie Mellon University;Carnegie Mellon University;Carnegie Mellon University
Venue:
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Year:
2006

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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.