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Hidden Markov model-based supertagging in a user-initiative dialogue system
2002
International Workshop on Tree Adjoining Grammars and Related Formalisms
In this paper we outline the advantages of deploying a shallow parser based on Supertagging in an automatic dialogue system in a call center that basically leaves the initiative with the user as far as (s)he wants (in the literature called userinitiative or adaptive in contrast to system-initiative dialogue systems ). The Supertagger relies on a Hidden Markov model and is trained with Gennan input texts. The entire design of a Hidden Markov-based Supertagger with trigrams builds the central
dblp:conf/tag/BackerH02
fatcat:k7eaweqsivamzdpai26hmzun6e