The Logical-Linguistic Model of Fact Extraction from English Texts

Ескіз

Дата

2016

ORCID

DOI

doi.org/10.1007/978-3-319-46254-7_51

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Видавець

Анотація

In this paper we suggest the logical-linguistic model that allows extracting required facts from English sentences. We consider the fact in the form of a triplet: Subject > Predicate > Object with the Predicate representing relations and the Object and Subject pointing out two entities. The logical-linguistic model is based on the use of the grammatical and semantic features of words in English sentences. Basic mathematical characteristic of our model is logical-algebraic equations of the finite predicates algebra. The model was successfully implemented in the system that extracts and identifies some facts from Web-content of a semi-structured and non-structured English text.

Опис

Ключові слова

logical-linguistic model, fact extraction, finite predicates algebra, triplet, grammatical features, syntactic features

Бібліографічний опис

Khairova N. F. The Logical-Linguistic Model of Fact Extraction from English Texts [Electronic resource] / N. F. Khairova, S. Petrasova, A. P. S. Gautam // Information and Software Technologies (ICIST 2016) : proc. 22nd Intern. Conf., Druskininkai, Lithuania, October 13-15, 2016 / ed.: G. Dregvaite, R. Damasevicius. – Electronic text data. – Cham, 2016. – P. 625-635. – (Ser. : Communications in Computer and Information Science. Vol. 639). – URL: https://link.springer.com/chapter/10.1007/978-3-319-46254-7_51, paid access (accessed 10.09.2022).

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