The SPRACH/LaSIE system for named entity identification in broadcast news.
dc.contributor.author
Renals, Steve
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Gotoh, Yoshihiko
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Gaizauskas, Robert
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Stevenson, Mark
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dc.date.accessioned
2006-05-26T10:46:21Z
dc.date.available
2006-05-26T10:46:21Z
dc.date.issued
1999
dc.description.abstract
We have developed two conceptually different systems that are able to identify named entities from spoken audio. One (referred to as SPRACH-S) has a stochastic finite state machine structure for use with an acoustic model that identifies both words and named entities from speech data. The other (referred to as SPRACH-R) is a rule-based system which uses matching against stored name lists, part-of-speech tagging, and light phrasal parsing with specialised named entity grammars. We provide an overview of the two approaches and present results on the Hub-4E IE-NE evaluation task.
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22768 bytes
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36487 bytes
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application/octet-stream
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application/pdf
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dc.identifier.citation
In Proc. DARPA Broadcast News Workshop, pages 47-50, 1999.
dc.identifier.uri
http://homepages.inf.ed.ac.uk/srenals/pubs/1999/darpa99-ne.html
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http://hdl.handle.net/1842/1175
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en
dc.title
The SPRACH/LaSIE system for named entity identification in broadcast news.
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dc.type
Conference Paper
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