Referenced Items are not available for this document.
A stochastically based approach for the semantic analysis component of a natural spoken language system for the ARPA Air Travel Information Services (ATIS) task has been developed. The semantic analyzer of the spoken language system already in use at LIMSI makes use of a rule-based case grammar. In this work, the system of rules for the semantic analysis is replaced with a relatively simple first-order hidden Markov model. The performances of the two approaches can be compared because they use identical semantic representations, despite their rather different methods for meaning extraction. We use an evaluation methodology that assesses performance at different semantic levels, including the database response comparison used in the ARPA ATIS paradigm
Published in:
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
(Volume:2
)
Date of Conference: 3-6 Oct 1996
- Page(s):
- 1013 - 1016 vol.2
- Meeting Date :
- 03 Oct 1996-06 Oct 1996
- Print ISBN:
- 0-7803-3555-4
- INSPEC Accession Number:
- 5679372
- Conference Location :
- Philadelphia, PA
- Digital Object Identifier :
- 10.1109/ICSLP.1996.607775
- Product Type:
- Conference Publications
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