Bayesian approach for understanding information-seeking queries
Refereed conference paper presented and published in conference proceedings
CUHK Authors
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AbstractThis paper explores a Bayesian approach for handling natural language queries for information access or retrieval. Natural language understanding is a key technology in human-computer interfaces, and often constitutes the front-end to information systems. In this work, we devised a Bayesian methodology for the identification of the user's informational goals in information enquiries. We focus on a restricted domain, the Air Travel Information Systems (ATIS) domain, where the user's informational goal often falls within a finite set of within-domain goals. We formulated the problem into N binary decisions, to allow for the identification of queries with multiple goals, as well as queries with out-of-domain goals. Experiments with the ATIS corpus shows that between 84.6% to 88.0% of the user queries are correctly handled via goal classification, rejection or multiple-goal identification.
All Author(s) ListMeng Helen M., Lam Wai, Low Kon Fan
Name of Conference1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics'
Start Date of Conference12/10/1999
End Date of Conference15/10/1999
Place of ConferenceTokyo, Jpn
Country/Region of ConferenceJapan
Year1999
Month12
Day1
Volume Number4
ISSN0884-3627
LanguagesEnglish-United Kingdom
