Paper Info
Title
An information extraction approach for spoken language understanding
Abstract
This paper presents an Information Extraction (IE) ap- proach for spoken language understanding. The goal in IE is to find proper values for pre-defined slots of given templates. IE for spoken language understanding pro- poses a concept spotting approach for spoken language because IE approach is interested in only pre-defined con- cept slots. In spite of this partial understanding, we can acquire necessary information for an application from the values of pre-defined slots because the slots are properly designed for speech understanding in a specific domain. Spoken language has so many recognition errors espe- cially in a poor environment so it is more difficult to un- derstand than textual language. Considering this fact, we attempt to understand the languages by concentrating on the specified information. In experiments on the car nav- igation domain, F-measure for concept spotting for tex- tual input (WER 0%) and spoken input (WER 39%) are 96.33% and 78.30% respectively.
Year
Venue
Keywords
2004
INTERSPEECH
information extraction
Field
DocType
Citations 
Computer science,Speech recognition,Information extraction,Natural language processing,Artificial intelligence,Spotting,Spoken language
Conference
2
PageRank 
References 
Authors
0.45
4
3
Name
Order
Citations
PageRank
Jihyun Eun1172.32
Changki Lee227926.18
Gary Geunbae Lee393293.23