License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2019.2
URN: urn:nbn:de:0030-drops-108692
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10869/
Go to the corresponding OASIcs Volume Portal

Gonçalo Oliveira, Hugo ; Filipe, Ricardo ; Rodrigues, Ricardo ; Alves, Ana

Using Lucene for Developing a Question-Answering Agent in Portuguese

pdf-format:
OASIcs-SLATE-2019-2.pdf (0.5 MB)

Abstract

Given the limitations of available platforms for creating conversational agents, and that a question-answering 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.

BibTeX - Entry

@InProceedings{gonalooliveira_et_al:OASIcs:2019:10869,
  author =	{Hugo Gon{\c{c}}alo Oliveira and Ricardo Filipe and Ricardo Rodrigues and Ana Alves},
  title =	{{Using Lucene for Developing a Question-Answering Agent in Portuguese}},
  booktitle =	{8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
  pages =	{2:1--2:14},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-114-6},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{74},
  editor =	{Ricardo Rodrigues and Jan Janousek and Lu{\'\i}s Ferreira and Lu{\'\i}sa Coheur and Fernando Batista and Hugo Gon{\c{c}}alo Oliveira},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10869},
  URN =		{urn:nbn:de:0030-drops-108692},
  doi =		{10.4230/OASIcs.SLATE.2019.2},
  annote =	{Keywords: information retrieval, question answering, natural language interface, natural language processing, natural language understanding}
}

Keywords: information retrieval, question answering, natural language interface, natural language processing, natural language understanding
Collection: 8th Symposium on Languages, Applications and Technologies (SLATE 2019)
Issue Date: 2019
Date of publication: 24.07.2019

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI