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.2017.16
URN: urn:nbn:de:0030-drops-79505
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7950/
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Gonçalo Oliveira, Hugo

Comparing and Combining Portuguese Lexical-Semantic Knowledge Bases

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OASIcs-SLATE-2017-16.pdf (0.4 MB)

Abstract

There are currently several lexical-semantic knowledge bases (LKBs) for Portuguese, developed by different teams and following different approaches. In this paper, the open Portuguese LKBs are briefly analysed, with a focus on size and overlapping contents, and new LKBs are created from their redundant information. Existing and new LKBs are then exploited in the performance of semantic analysis tasks and their performance is compared. Results confirm that, instead of selecting a single LKB to use, it is worth combining all the open Portuguese LKBs.

BibTeX - Entry

@InProceedings{gonalooliveira:OASIcs:2017:7950,
  author =	{Hugo Gon{\c{c}}alo Oliveira},
  title =	{{Comparing and Combining Portuguese Lexical-Semantic Knowledge Bases}},
  booktitle =	{6th Symposium on Languages, Applications and Technologies (SLATE 2017)},
  pages =	{16:1--16:15},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-056-9},
  ISSN =	{2190-6807},
  year =	{2017},
  volume =	{56},
  editor =	{Ricardo Queir{\'o}s and M{\'a}rio Pinto and Alberto Sim{\~o}es and Jos{\'e} Paulo Leal and Maria Jo{\~a}o Varanda},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7950},
  URN =		{urn:nbn:de:0030-drops-79505},
  doi =		{10.4230/OASIcs.SLATE.2017.16},
  annote =	{Keywords: Lexical Knowledge Bases, Portuguese, WordNet, Redundancy, Semantic Similarity}
}

Keywords: Lexical Knowledge Bases, Portuguese, WordNet, Redundancy, Semantic Similarity
Collection: 6th Symposium on Languages, Applications and Technologies (SLATE 2017)
Issue Date: 2017
Date of publication: 04.10.2017

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