Mosinyan, AnnaPetrasova, Svitlana2024-02-152024-02-152020Mosinyan A. Using a Distributional Semantic Model for Collocation Identification [Electronic resource] / A. Mosinyan, S. Petrasova // Computational Linguistics and Intelligent Systems (COLINS 2020) : proc. of the 4th Intern. Conf., April 23-24, 2020. Vol. 2. – Electronic text data. – Lviv, 2020. – P. 236-237. – Access mode: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf, free (date of the application 15.02.2024.).https://repository.kpi.kharkov.ua/handle/KhPI-Press/74150This paper proposes the approach to automatic collocation identification using both the distributional semantic model and POS-tagging. The authors suggest calculating PMI to obtain a sequence of collocations from the designed corpus of research abstracts. Then POS-tagging is applied to classify collocations extracted from the text corpus.endistributional semanticsPOS-taggingcollocationtext corpusresearch abstractsArticle