The Logical-Linguistic Model of Fact Extraction from English Texts
Дата
2016
ORCID
DOI
doi.org/10.1007/978-3-319-46254-7_51
Науковий ступінь
Рівень дисертації
Шифр та назва спеціальності
Рада захисту
Установа захисту
Науковий керівник
Члени комітету
Назва журналу
Номер ISSN
Назва тому
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).