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Toward conversational human-computer interaction
AI Magazine
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Using syntactic dependency as local context to resolve word sense ambiguity
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Spoken Dialogue Technology
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Hybrid knowledge modeling for ambient intelligence
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This paper describes an approach to improve the knowledge represented in the domain model of a Dialogue System (DS). The DS allows its user to interact, via speech, for instance, with an Ambient Intelligence (AmI) scenario composed by a set of heterogeneous artifacts. Typically, the user's available tasks are represented in the domain model through atomic knowledge unit references, nominated concepts. Our knowledge-updating proposal suggests the insertion of similarity arcs, between pairs of concepts, represented by descriptors and determined by similarity measures. A case study about food is presented.