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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    Linguistic Characteristics of Combat Post-Traumatic Stress Disorder in a Trauma Related Narrative: Computational Context-Aware Approach
    (2021-05-04) Didushok, Valeriia; Khairova, Nina; National Technical University “Kharkiv Polytechnic Institute”
    These days, an increased prevalence of post-traumatic stress disorder (PTSD) and severe depression has been reported in populations exposed to war. This paper introduces using linguistic analysis of trauma narratives in the context of the study of post-traumatic stress disorder of combatants. As a subject of the analysis, posts of people who participated in combat, obtained from topic-related discussion boards were used. The approach utilizes vocabulary adaptation in NLP using the pre-trained language BERT model in addition to descriptive statistics obtained from text. The novelty of the research lies in the use of a context-sensitive model, while most of the existing research in this area is based on statistical models that use statistical inference to discover hidden patterns.
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    Media Discourse Analysis Based on Ukrainian Spoken and Written Corpus
    (2021-05-04) Razno, Maria; Khairova, Nina; National Technical University "Kharkiv Polytechnic Institute"
    This article describes Ukrainian media discourse corpus creation and the relevance of the discourse analysis task applied on this corpus, using NLP methods, that can be implemented on Python programming language. It also includes the concept of different NLP methods and algorithms, its main varieties and the most popular Python packages and libraries for working with text data. Extraction of media discourse markers analysis algorithms based on the text processing is introduced in this study. It shows how to use NLP methods in practice.