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InferPortOIE: A Portuguese Open Information Extraction system with inferences

Published online by Cambridge University Press:  14 December 2018

Cleiton Fernando Lima Sena  and
Daniela Barreiro Claro Open the ORCID record for Daniela Barreiro Claro [Opens in a new window]
Cleiton Fernando Lima Sena
Affiliation:
Formalisms and Semantic Applications Research Group (FORMAS), LaSiD/DCC/IME—Federal University of Bahia (UFBA), Av. Adhemar de Barros, s/n, Campus de Ondina, Salvador, Bahia, Brazil
Daniela Barreiro Claro*
Affiliation:
Formalisms and Semantic Applications Research Group (FORMAS), LaSiD/DCC/IME—Federal University of Bahia (UFBA), Av. Adhemar de Barros, s/n, Campus de Ondina, Salvador, Bahia, Brazil
*
*Corresponding author. Email: [email protected]
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Abstract

Nowadays, there is an increasing amount of digital data. In the case of the Web, daily, a vast collection of data is generated, whose contents are heterogeneous. A significant portion of this data is available in a natural language format. Open Information Extraction (Open IE) enables the extraction of facts from large quantities of texts written in natural language. In this work, we propose an Open IE method to extract facts from texts written in Portuguese. We developed two new rules that generalize the inference by transitivity and by symmetry. Consequently, this approach increases the number of implicit facts in a sentence. Our novel symmetric inference approach is based on a list of symmetric features. Our results confirmed that our method outstands close works both in precision and number of valid extractions. Considering the number of minimal facts, our approach is equivalent to the most relevant methods in the literature.

Keywords

open information extractioninferencesemantics
Type
Article
Information
Natural Language Engineering , Volume 25 , Issue 2 , March 2019 , pp. 287 - 306
Copyright
© Cambridge University Press 2018 

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