Chuiko, ViktoriiaKhairova, Nina2019-10-312019-10-312019-04-182019-04-18Chuiko V. Semantic similarity identification for short text fragments / Viktoriia Chuiko, Nina Khairova // Computational Linguistics and Intelligent Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 57–59. — (Student section).2523-4013https://ena.lpnu.ua/handle/ntb/45497The 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.57-59ensemantic similarityshort text fragmentscorpus of mass-media textautomatic identificationSemantic similarity identification for short text fragmentsArticle© 2019 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.3Chuiko V. Semantic similarity identification for short text fragments / Viktoriia Chuiko, Nina Khairova // Computational Linguistics and Intelligent Systems. — Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 57–59. — (Student section).