AnswerArt - Contextualized Question Answering

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The focus of this paper is a question answering system, where the answers are retrieved from a collection of textual documents. The system also includes automatic document summarization and document visualization by means of a semantic graph. The information extracted from the documents is stored as subject-predicate-object triplets, and the indexed terms are expanded using Cyc, a large common sense ontology.

Lorand Dali, Delia Rusu, Blaz Fortuna, Dunja Mlade

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Automatic Document Summarization | Common Sense Ontology | Data Mining | Documents | PKDD 2010 |

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Added	29 Jan 2011
Updated	29 Jan 2011
Type	Journal
Year	2010
Where	PKDD
Authors	Lorand Dali, Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Grobelnik

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AnswerArt - Contextualized Question Answering

Automatic Document Summarization | Common Sense Ontology | Data Mining | Documents | PKDD 2010 |

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