Integrating Ontological and Linguistic Knowledge for Conceptual Information Extraction
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Natural language question answering: the view from here
Natural Language Engineering
The CommandTalk spoken dialogue system
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Experiments with interactive question-answering
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Journal on data semantics VIII
Journal on data semantics VIII
PowerMap: mapping the real semantic web on the fly
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Introspection and adaptable model integration for dialogue-based question answering
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
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This paper proposes a model for ontological representation supporting task-oriented dialog. The adoption of our ontology representation allows to map an interactive Question Answering (iQA) task into a knowledge based process. It supports dialog control, speech act recognition, planning and natural language generation through a unified knowledge model. A platform for developing iQA systems in specific domains, called REQUIRE(Robust Empirical QUestion answering for Intelligent Retrieval), has been entirely developed over this model. The first prototype developed for medical consulting in the sexual health domain has been recently deployed and is currently under testing. This will serve as a basis for exemplifying the model and discussing its benefits.