Named entity recognition from spontaneous open-domain speech

Mihai Surdeanu, Jordi Turmo, Eli Comelles

Research output: Contribution to conferencePaper

12 Scopus citations

Abstract

This paper presents an analysis of named entity recognition and classification in spontaneous speech transcripts. We annotated a significant fraction of the Switchboard corpus with six named entity classes and investigated a battery of machine learning models that include lexical, syntactic, and semantic attributes. The best recognition and classification model obtains promising results, approaching within 5% a system evaluated on clean textual data.

Original languageEnglish (US)
Pages3433-3436
Number of pages4
StatePublished - Dec 1 2005
Externally publishedYes
Event9th European Conference on Speech Communication and Technology - Lisbon, Portugal
Duration: Sep 4 2005Sep 8 2005

Other

Other9th European Conference on Speech Communication and Technology
CountryPortugal
CityLisbon
Period9/4/059/8/05

ASJC Scopus subject areas

  • Engineering(all)

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    Surdeanu, M., Turmo, J., & Comelles, E. (2005). Named entity recognition from spontaneous open-domain speech. 3433-3436. Paper presented at 9th European Conference on Speech Communication and Technology, Lisbon, Portugal.