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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/45486
Title: Method for paraphrase extractionfrom the news text corpus
Authors: Manuilov, Illia
Petrasova, Svitlana
Affiliation: National Technical University "Kharkiv Polytechnic Institute"
Bibliographic description (Ukraine): Manuilov I. Method for paraphrase extractionfrom the news text corpus / Illia Manuilov, Svitlana Petrasova // Computational Linguistics and Intelligent Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 69–70. — (Student section).
Bibliographic description (International): Manuilov I. Method for paraphrase extractionfrom the news text corpus / Illia Manuilov, Svitlana Petrasova // Computational Linguistics and Intelligent Systems. — Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 69–70. — (Student section).
Is part of: Computational Linguistics and Intelligent Systems (2), 2019
Journal/Collection: Computational Linguistics and Intelligent Systems
Volume: 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019
Issue Date: 18-Apr-2019
Publisher: Lviv Politechnic Publishing House
Place of the edition/event: Lviv
Keywords: paraphrase extraction
news text corpus
syntactic rules
synsets
Universal Dependencies
WordNet
Number of pages: 2
Page range: 69-70
Start page: 69
End page: 70
Abstract: The paper discusses the process of automatic extraction of paraphrases used in rewriting. The researchers propose the method for extracting paraphrases from English news text corpora. The method is based on both the developed syntactic rules to define phrases and synsets to identify synonymous words in the designed text corpus of BBC news. In order to implement the method, Natural Language Toolkit, Universal Dependencies parser and WordNet are used.
URI: https://ena.lpnu.ua/handle/ntb/45486
ISSN: 2523-4013
Copyright owner: © 2019 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.
URL for reference material: http://www.dialog-21.ru/media/2496/bolshakov.pdf
https://wordnet.princeton.edu
https://www.bbc.com/news,last
References (International): 1. Koloiev, A.S.: Rewrite as a new phenomenon in modern journalism. In: SPU Bulletin. Philology, vol. 1, 221-226 (2012)
2. Bolshakov, I.A.: Two methods of synonymous paraphrasing in linguistic steganography. In:Proceedings of the International ConferenceDialogue-2004,http://www.dialog-21.ru/media/2496/bolshakov.pdf, last accessed 2019/02/10.
3. Petrasova, S., Khairova, N., Lewoniewski, W.: Building the semantic similarity model for social network data streams. In:Data Stream Mining & Processing, Proceedings of the 2018 IEEE Second International Conference (DSMP), 21-24 (2018)
4. WordNet: https://wordnet.princeton.edu, last accessed 2019/02/10.
5. BBC, https://www.bbc.com/news,last accessed 2019/02/10.
Content type: Article
Appears in Collections:Computational linguistics and intelligent systems. – 2019 р.

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