AnswerArt - Contextualized Question Answering

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.

• Type: Journal
• Year: 2010
• Where: PKDD
• Authors: Lorand Dali, Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Grobelnik
• Keywords: Automatic Document Summarization, Common Sense Ontology, Data Mining, Documents, PKDD 2010