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

Einat Minkov; Richard C. Wang; Anthony Tomasic; William W. Cohen

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

Einat Minkov
, Richard C. Wang
, Anthony Tomasic
, William W. Cohen

Research output: Contribution to conference › Paper › peer-review

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
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
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

Cite this

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title = "NER systems that suit user's preferences: Adjusting the recall-precision trade-off for entity extraction",

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.",

author = "Einat Minkov and Wang, \{Richard C.\} and Anthony Tomasic and Cohen, \{William W.\}",

note = "Publisher Copyright: {\textcopyright} 2006 Association for Computational Linguistics; 2006 Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, HLT-NAACL 2006 ; Conference date: 04-06-2006 Through 09-06-2006",

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pages = "93--96",

}

NER systems that suit user's preferences: Adjusting the recall-precision trade-off for entity extraction. / Minkov, Einat; Wang, Richard C.; Tomasic, Anthony et al.
2006. 93-96 Paper presented at 2006 Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, HLT-NAACL 2006, New York, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - NER systems that suit user's preferences

T2 - 2006 Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, HLT-NAACL 2006

AU - Minkov, Einat

AU - Wang, Richard C.

AU - Tomasic, Anthony

AU - Cohen, William W.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84922282641

M3 - Paper

AN - SCOPUS:84922282641

SP - 93

EP - 96

Y2 - 4 June 2006 through 9 June 2006

ER -

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

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this