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Using Lucene for Developing a Question-Answering Agent in Portuguese

dc.contributor.authorOliveira, Hugo Gonçalo
dc.contributor.authorFilipe, Ricardo
dc.contributor.authorRodrigues, Ricardo
dc.contributor.authorAlve, Ana
dc.date.accessioned2026-01-26T17:11:43Z
dc.date.available2026-01-26T17:11:43Z
dc.date.issued2019
dc.description.abstractGiven the limitations of available platforms for creating conversational agents, and that a questionanswering agent suffices in many scenarios, we take advantage of the Information Retrieval library Lucene for developing such an agent for Portuguese. The solution described answers natural language questions based on an indexed list of FAQs. Its adaptation to different domains is a matter of changing the underlying list. Different configurations of this solution, mostly on the language analysis level, resulted in different search strategies, which were tested for answering questions about the economic activity in Portugal. In addition to comparing the different search strategies, we concluded that, towards better answers, it is fruitful to combine the results of different strategies with a voting method.eng
dc.identifier.urihttp://hdl.handle.net/10400.26/61203
dc.language.isoeng
dc.peerreviewedn/a
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectinformation retrieval
dc.subjectquestion answering
dc.subjectnatural language interface
dc.subjectnatural language processing
dc.subjectnatural language understanding
dc.titleUsing Lucene for Developing a Question-Answering Agent in Portugueseeng
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferenceDate2019
oaire.citation.endPage2:14
oaire.citation.startPage2:1
oaire.citation.title8th Symposium on Languages, Applications and Technologies (SLATE 2019)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameRodrigues
person.givenNameRicardo
person.identifier.ciencia-idD31C-FB4A-FEAA
person.identifier.orcid0000-0002-6262-7920
relation.isAuthorOfPublicationc64ccf7c-eca2-43cf-a4a2-78e684499c00
relation.isAuthorOfPublication.latestForDiscoveryc64ccf7c-eca2-43cf-a4a2-78e684499c00

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