Semantic Networks and Spreading Activation Process for QA improvement on text answers

dc.contributor.authorSaias, José
dc.contributor.authorQuaresma, Paulo
dc.contributor.editorCaseli, Helena
dc.contributor.editorSpecia, Lucia
dc.date.accessioned2012-01-27T17:07:51Z
dc.date.available2012-01-27T17:07:51Z
dc.date.issued2011-10
dc.description.abstractQuestion Answering (QA) systems try to find precise answers to natural language questions. QA extraction result is often an amount of text candidate answers which requires some validation and ranking criteria. This paper presents an automatic answer appreciation technique where extracted candidate answers are represented in a question dedicated associative knowledge base, a semantic network. A spreading activation algorithm looks for semantically related candidate answers, that reinforce each other. The purpose is to enhance the best answers by rising their weight. This article concludes with evaluation details for an experiment with text answers to Portuguese questions.por
dc.identifier.authoremailjsaias@di.uevora.pt
dc.identifier.authoremailpq@di.uevora.pt
dc.identifier.citationJosé Saias and Paulo Quaresma. Semantic networks and spreading activation process for QA improvement on text answers. In Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology - STIL2011, Mato Grosso, Brasil, 2011.por
dc.identifier.issn2175-6201
dc.identifier.scientificarea283por
dc.identifier.urihttp://hdl.handle.net/10174/4405
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSBC - Sociedade Brasileira de Computaçãopor
dc.rightsrestrictedAccesspor
dc.subjectquestion-answering systemspor
dc.titleSemantic Networks and Spreading Activation Process for QA improvement on text answerspor
dc.typearticlepor

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