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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    Unsupervised Open Relation Extraction
    (2021-05-04) Tarasenko, Yaroslav; Petrasova, Svitlana; National Technical University “Kharkiv Polytechnic Institute”
    The paper describes an approach to open relation extraction based on unsupervised machine learning. The state-of-the-art methods for extracting semantic relations are analyzed. The algorithm of automatic open relation extraction using statistical, syntactic and contextual information is proposed. The results of the study can be used in information retrieval, summarization, machine translation, question-answering systems, etc.
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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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    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.