Tarasenko, YaroslavPetrasova, Svitlana2022-05-232022-05-232021-05-042021-05-04Tarasenko Y. Unsupervised Open Relation Extraction / Yaroslav Tarasenko, Svitlana Petrasova // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 93–94.2523-4013https://ena.lpnu.ua/handle/ntb/56806The 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.93-94enInformation ExtractionOpen Relation Extractionsemantic relationTF-IDFparsingcluster analysisArticlecopyrighted by its editors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).© 2021 Copyright for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and2Tarasenko Y. Unsupervised Open Relation Extraction / Yaroslav Tarasenko, Svitlana Petrasova // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 93–94.