The logical-linguistic model of fact extraction from English texts

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Abstract

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 logicalalgebraic 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.

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APA

Khairova, N. F., Petrasova, S., & Gautam, A. P. S. (2016). The logical-linguistic model of fact extraction from English texts. In Communications in Computer and Information Science (Vol. 639, pp. 625–635). Springer Verlag. https://doi.org/10.1007/978-3-319-46254-7_51

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