Computational linguistics and intelligent systems. – 2021 р.

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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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    An Algorithm of Automated Identification of the Noun “думка” + Verb and Verb + Noun “думка” Metaphorical Model Meaning (Based on the Novel Музей покинутих секретів Written by Oksana Zabuzhko)
    (2021-05-04) Karasov, Vitalii; Levchenko, Olena; Lviv Polytechnic National University
    The principles of automated identification of metaphoric combination of Noun “думка” + Verb and vice versa have been described in the thesis. The research has been carried out on the novel Музей покинутих секретів written by Oksana Zabuzhko and Grac v.10 corpus that served as the source of the research material. According to the search results in the text corpora, it was found that with the help of the models of two groups, both figurative and direct meaning can be realized. It should be noted that basically 71% of cases has figurative meaning and only rarely we come across a direct one. Such a feature of the considered metaphor’s models is due to the fact that the concept of “думка” is an abstract in itself. Due to this, the search field is significantly expanded and does not require preliminary screening of direct meanings of the lexeme “думка”. It should also be noted that the noun “думка” has such a semantic category t:ment r:abstr.
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    An Approach to Extraction of Verb-Noun Patterns from News Data Stream
    (2021-05-04) Romanova, Uliana; Petrasova, Svitlana; National Technical University “Kharkiv Polytechnic Institute”
    The paper describes an approach to extraction of Verb-Noun patterns from news data stream. The linguistic tagging, namely algorithms for parsing, and methods for extracting collocations are analyzed. The algorithm for the automatic extraction of Verb collocations from the designed corpus of news texts is proposed. The Stanford Universal Dependencies parser is applied to identify Verb-Noun patterns. Then t-score is implemented for extracting collocations.
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    An Overview of Existing Machine Learning Methods for Gender Classification of Names
    (2021-05-04) Shleiko, Anna; Borysova, Natalia; Kochuieva, Zoia; Melnyk, Karina; National Technical University "Kharkiv Polytechnic Institute"
    The paper presents an overview of the existing machine learning methods for solving the problem of gender classification of the authors of the written texts by names: substantiates the relevance of the research topic, analyzes the existing methods of solving the task and selects the direction of further research.
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    Analysis of Vulnerabilities of IoT-Devices and Methods of Their Elimination
    (2021-05-04) Liashenko, Oleksii; Kazmina, Darina; Rosinskiy, Dmytro; Dukh, Yana; Kharkiv National University of Radio-Electronics
    Relevance and the problem setting: at present, vulnerabilities in the firmware of IoT-devices pose a serious threat, as attackers, who at first have exploited the vulnerabilities, gain remote access to devices which allows them to form botnets that are then used to capture new devices or organize serious DDos attacks. Therefore, currently, there is an urgent need to increase the effectiveness of vulnerability detection methods in the firmware. The purpose of this work is to analyze and define the term “vulnerability”, to provide the classification of vulnerabilities of IoT-devices, the causes of vulnerabilities of IoT-devices, to analyze the stages of vulnerability detection, and to present the example of a search algorithm for vulnerable IoT-devices.
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    Applying Recurrence Plots to Classify Time Series
    (2021-05-04) Kirichenko, Lyudmyla; Radivilova, Tamara; Stepanenko, Juliia; Kharkiv National University of Radio Electronics
    The article describes a new approach to the classification of time series based on the construction of their recurrence plots. After transforming the time series into recurrence plots, two approaches are applied for classification. In the first case, quantitative recurrence characteristics are used for classification as features. In the second case, the time series is presented in the form of a black and white image of its recurrence plot. A convolutional neural network is used as an image classifier. The data for the classification are the electrocardiograms realizations of 100 values, which contained records of healthy people and patients with a diagnosis of ischemia. Research results showed the advantages of classifying images of recurrence plots, indicate a good classification accuracy in comparison with other methods and the potential capabilities of this approach.
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    Construction of Information System for Finding Tickets for Different Types of Transport
    (2021-05-04) Malion, Vasyl; Hryhorovych, Viktor; Lviv Polytechnic National University
    The problem of choosing a way to buy a ticket is relevant in the world. Therefore, buyers often prefer unprofitable and problematic alternatives. In order to choose the best way to buy a ticket, all the alternatives to the usual booking offices are analyzed. Based on these data, a comparison of these methods is made at a price, time spent, range of tickets, convenience, reliability and provision of additional services.
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    Designing Linguistic Ontologies for Training Information Systems
    (2021-05-04) Tkachenko, Olha; Tkachenko, Kostiantyn; Tkachenko, Oleksandr; State University of Infrastructure and Technology; National Aviation University
    The article discusses the problems of designing linguistic ontologies for educational information systems. An approach to the formalized description of linguistic ontologies is considered, taking into account the concepts of subject areas of training information systems and the relationship between these concepts. The thesaurus of the training information system, built on the basis of linguistic ontologies, is considered.
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    Discourse Markers as Means of Compositional Integrity in English Last Wills and Testaments
    (2021-05-04) Kulyna, Olha; Lviv Polytechnic National University
    A Last Will and Testament as a legal document of Inheritance Law is of particular importance for the life of modern societies of all developed and underdeveloped countries. The research focuses on the complex analysis of the study of English Last Will and Testament as a social and communicative phenomenon which is a repetitive speech act that generates a typical linguistic layout of the content to meet the communicative needs of a testator/testatrix on the issue of the inheritance of property and money after their death in the situation of bequest. The corpus of the research contains 400 wills written in England between 1837 and 2015 (525 023 characters). Attention is paid to discourse markers which provide structural integrity of the text in wills. The main aim of this article is to conduct the analysis of discourse markers found in English Last Wills and Testaments. The classification of discourse markers by B. Fraser has been used in the study. A structural method has been applied to single out groups of discourse markers. Discourse markers of sequence as a subtype of discourse activity markers, parallel discourse markers, contrastive discourse markers, elaborative discourse markers and inferential discourse markers as subtypes of message relationship markers are common in the texts of Last Wills and Testaments. These markers complement the content of a previous statement, combine parts of a sentence, introduce new information, contrast events, actions and even participants. The usage of discourse markers facilities communication and ensures the compositional integrity of the text.
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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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    Information System for Educational Resources Management
    (2021-05-04) Sokoliuk, Vitalii; Hryhorovych, Viktor; Lviv Polytechnic National University
    Education is one of the best ways to form one’s personality so he is able to think and act independently. It has always been given a great importance. Education systems are constantly changing in order to adapt to new conditions and get the most out of them. Recently, self-education aimed at gaining knowledge related to cognitive interests or professional development has become increasingly popular. For this purpose, the relevant literature is studied, different lectures and research centers are attended, somebody`s own experiments and researches in the chosen field are conducted. Various methods on the Internet are rapidly developing. One of the most popular is learning on educational platforms.
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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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    Linguistic Features of Designing Open-Ended Test Systems
    (2021-05-04) Shapovalova, Anastasiia; Petrasova, Svitlana; National Technical University “Kharkiv Polytechnic Institute”
    The paper provides an algorithm of designing a test system for automated knowledge assessment through open-ended questions. The relevance of the use of open-ended tasks and problems of processing natural language answers are analyzed. The application of WordNet and regular expressions is proposed for designing samples of correct answers in the questionnaire.
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    List of Non-Outer Projective Planar Graphs
    (2021-05-04) Petrenjuk, Volodymyr; Petrenjuk, Dmytro; Centralukrainian national technical university; V. M. Glushkov Institute of Cybernetics of the NAS of Ukraine
    The graph is outer-projective-planar, if embeds on the projective-plane with all vertices on the boundary of one distinguished cell, and non-outer-projective-planar in another case. The main result: diagrams of graphs as a result of the algorithm are given and the numbers of reachability of sets of vertices of minors of the projective plane and sets with points of connection of a star to subgraphs of these minors are calculated. The list of non-outer projective-planar graphs that was declared in [6] has presented here.
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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.
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    Part I. Poster Papers
    (2021-05-04)
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    Part II. Student Section
    (2021-05-04)
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    Problems of Evaluating Frameworks for Web Applications
    (2021-05-04) Bieliaiev, Oleksandr; Selivorstova, Yuliia; Liutenko, Irina; National Technical University "Kharkiv Polytechnic Institute"
    In the process of creating software, the task of choosing the best framework in this case often arises, for which it is necessary to evaluate the frameworks. The work considered the features of the frameworks that are used in web development. Criteria for the rationality of using frameworks for developing web applications are given. The components of front-end development are considered and the classification of frameworks is given. It is proposed to evaluate frameworks using the ISO / IEC 25010 quality model. The main functionality of front-end frameworks, which are used for evaluation, are formulated. Such methods as the synthesis of a formal decision-making model, qualimetry, SACS, analysis of variance, and factor analysis can be used to evaluate frameworks. Subsequently, to evaluate the frameworks, the SACS method was chosen as the best methodology for multi-criteria selection.
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    Research of Information Retrieval Data Processing in Commercial Electronic Resources
    (2021-05-04) Budko, Daria; Sharonova, Nataliia; National Technical University "Kharkiv Polytechnic Institute"
    The article provides an overview of existing methods of processing textual data in order to improve the site's performance and quickly find information about the product that the user needs: substantiated the relevance of the research topic, analyze the classification of problems, search and processing of textual information.
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    Special Aspects of Translation of Medical Instructions
    (2021-05-04) Khramtsov, Vladyslav; Orobinska, Olena; National Technical University "Kharkiv Polytechnic Institute"
    The subject of the research "Special aspects of translation of medical instructions" is due to the fact that in our time the assortment of new types of technologies in medicine which fulfils the market of Europe and Ukraine is growing. The aim of the study is to convey the content accurately, as much as possible to preserve the features of the style. In order to achieve it, we need to know the subject and the related terminology (in our case, the medical one) and to achieve the adequacy of the translation of the text of this industry.
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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.