Luppar: An Information Retrieval System for Closed Document Collections

  • Fabiano Tavares da Silva UECE
  • José Everardo Bessa Maia UECE
DOI: https://doi.org/10.5753/eniac.2018.4478

Resumo


This article presents Luppar, an Information Retrieval tool for closed collections of documents which uses a local distributional semantic model associated to each corpus. The system performs automatic query expansion using a combination of distributional semantic model and local context analysis and supports relevancy feedback. The performance of the system was evaluated in databases of different domains and presented results equal to or higher than those published in the literature.

Referências


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Publicado
22/10/2018
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DA SILVA, Fabiano Tavares; MAIA, José Everardo Bessa. Luppar: An Information Retrieval System for Closed Document Collections. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 15. , 2018, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . p. 912-923. ISSN 2763-9061. DOI: https://doi.org/10.5753/eniac.2018.4478.