Computational linguistics and intelligent systems. – 2021 р.

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/56794

Періодичне видання за матеріалами конференції

It is our pleasure to present you the proceedings of the Workshop Conference of COLINS 2021, the fourth edition of the International Conference on Computational Linguistics and Intelligent Systems, held in Lviv (Ukraine) on April 22-23, 2021. The main purpose of the CoLInS conference is a discussion of the recent research results in all areas of Natural Language Processing and Intelligent Systems Development.

Computational linguistics and intelligent systems. – Lviv, 2021. – Volume 2 : Proceedings of the 5nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 22–23, 2021. – 131 p. – URL: http://ceur-ws.org/Vol-2870/

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Content (Vol. Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23)


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    Implementation of the Removing Homonymy by Collocation System
    (2021-05-04) Khluieva, Anastasiia; Kochuieva, Zoia; Borysova, Natalia; National Technical University “Kharkiv Polytechnic Institute”
    This article describes implementation of the removing homonymy by collocation system method in Ukrainian language, which can be implemented on Python programming language. It also includes the relevance of removing homonymy phenomenon and difficulties associated with it. A study of various methods of removing homonymy was carried out and conclusions are mentioned in this work. In article there is an algorithm of the removing of homonymy, particularly homoforms, by collocation system method.
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    The Approach to Creating the Recommendation System of Piano Pieces
    (2021-05-04) Holshtein, Maiia; Babkova, Nadiia; National Technical University "Kharkiv Polytechnic Institute"
    Nowadays a lot of descriptions of pieces of musical art can be found in Internet or in specialized collections. There is no recommendation system that offers certain composition for performance according to its difficulty level. This paper suggests the approach to creating the recommendation system of piano pieces. The approach is based on checking for collocations in descriptions of each composition. This paper shows the statistical method PMI used for searching the collocations indicating on certain difficulty level. In addition it also discusses the main problems during creating own recommendation system.