Sixth European Conference on Speech Communication and Technology
This paper is about language understanding using Belief Networks. Language understanding is a key technology in human-computer conversational systems. These systems often need to handle information-seeking queries from the user regarding a restricted domain. We devised a method for identifying the userís communicative goal(s) out of a finite set of within-domain goals. The problem is formulated as N binary decisions, each performed by a Belief Network. This formulation allows for the identification of queries with multiple goals, as well as queries with out-of-domain goals. Experiments with the ATIS corpus shows that around 90% of the user queries are correctly handled via goal classification, rejection or multiple goal identification.
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Bibliographic reference. Meng, Helen M. / Lam, Wai / Wai, Carmen (1999): "To believe is to understand", In EUROSPEECH'99, 2015-2018.