Referenced Items are not available for this document.
We present a new approach to natural language understanding (NLU) based on the source-channel paradigm, and apply it to ARPA's Air Travel Information Service (ATIS) domain. The model uses techniques similar to those used by IBM in statistical machine translation. The parameters are trained using the exact match algorithm; a hierarchy of models is used to facilitate the bootstrapping of more complex models from simpler models
Published in:
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
(Volume:1
)
Date of Conference: 7-10 May 1996
- Page(s):
- 176 - 179 vol. 1
- Meeting Date :
- 07 May 1996-10 May 1996
- ISSN :
- 1520-6149
- Print ISBN:
- 0-7803-3192-3
- INSPEC Accession Number:
- 5456500
- Conference Location :
- Atlanta, GA
- Digital Object Identifier :
- 10.1109/ICASSP.1996.540319
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