Chuiko, ViktoriiaKhairova, N. F.2020-12-112020-12-112019Chuiko V. Semantic Similarity Identification for Short Text Fragments [Electronic resource] / V. Chuiko, N. Khairova // Computational linguistics and intelligent systems (COLINS 2019) : proc. of the 3d Intern. Conf., April 18-19, 2019. Vol. 2: Workshop / ed.: V. Lytvyn [et al.]. – Electron. text data. – Lviv, 2019. – P. 57-59. – URL: http://colins.in.ua/wp-content/uploads/2019/12/colins_2019_57-59.pdf, free (accessed 11.12.2020).https://repository.kpi.kharkov.ua/handle/KhPI-Press/49772The paper contains review of the existing methods for semantic similarity identification, such as methods based on the distance between concepts and methods based on lexical intersection. We proposed a method for measuring the semantic similarity of short text fragment, i.e. two sentences. Also, we created corpus of mass-media text. It contains articles of Kharkiv news, that were sorted by their source and date. Then we annotated texts. We defined semantic similarity of sentences manually. In this way, we created learning corpus for our future system.ensemantic similarityshort text fragmentsorpus of mass-media textautomatic identificationThesishttps://orcid.org/0000-0002-4393-3260https://orcid.org/0000-0002-9826-0286