Khairova, N. F.Petrasova, S. V.Gautam, Ajit Pratap Singh2022-09-102022-09-102016Khairova 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).https://repository.kpi.kharkov.ua/handle/KhPI-Press/57932In 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.enlogical-linguistic modelfact extractionfinite predicates algebratripletgrammatical featuressyntactic featuresThesisdoi.org/10.1007/978-3-319-46254-7_51