The SPRACH/LaSIE system for named entity identification in broadcast news.
Steve J. Renals, Yoshihiko Gotoh, Robert Gaizauskas, Stevenson, Mark · ERA · 1999
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.