An Approach to Extraction of Verb-Noun Patterns from News Data Stream

Simple item page
dc.citation.epage87
dc.citation.spage86
dc.contributor.affiliationNational Technical University “Kharkiv Polytechnic Institute”
dc.contributor.authorRomanova, Uliana
dc.contributor.authorPetrasova, Svitlana
dc.coverage.placenameЛьвів ; Харків
dc.coverage.placenameLviv ; Kharkiv
dc.coverage.temporal22-23 April 2021, Kharkiv
dc.date.accessioned2022-05-23T10:50:11Z
dc.date.available2022-05-23T10:50:11Z
dc.date.created2021-05-04
dc.date.issued2021-05-04
dc.description.abstractThe 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.
dc.format.extent86-87
dc.format.pages2
dc.identifier.citationRomanova U. An Approach to Extraction of Verb-Noun Patterns from News Data Stream / Uliana Romanova, 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. 86–87.
dc.identifier.citationenRomanova U. An Approach to Extraction of Verb-Noun Patterns from News Data Stream / Uliana Romanova, 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. 86–87.
dc.identifier.issn2523-4013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/56803
dc.language.isoen
dc.relation.ispartofComputational linguistics and intelligent systems, 2021
dc.relation.references[1] M.-C. Marnee, Ch. D. Manning, Stanford typed dependencies manual, 2010, URL: https://www.semanticscholar.org/paper/Stanford-typed-dependencies-manual-Marnee-Manning/
dc.relation.references[2] S. Petrasova, N. Khairova, W. Lewoniewski, O. Mamyrbayev, K. Mukhsina, Similar Text Fragments Extraction for Identifying Common Wikipedia Communities, in: Data. MDPI AG, Basel, Switzerland, 2018. 3(4), 66. DOI: https://doi.org/10.3390/data3040066.
dc.relation.references[3] S. Evert, B. Krenn, Methods for the qualitative evaluation of lexical association measures, in: Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics, Toulouse, France, 2001. pp. 188–195.
dc.relation.references[4] XAIRA corpus manager, URL: http://xaira.sourceforge.net/
dc.relation.referencesen[1] M.-C. Marnee, Ch. D. Manning, Stanford typed dependencies manual, 2010, URL: https://www.semanticscholar.org/paper/Stanford-typed-dependencies-manual-Marnee-Manning/
dc.relation.referencesen[2] S. Petrasova, N. Khairova, W. Lewoniewski, O. Mamyrbayev, K. Mukhsina, Similar Text Fragments Extraction for Identifying Common Wikipedia Communities, in: Data. MDPI AG, Basel, Switzerland, 2018. 3(4), 66. DOI: https://doi.org/10.3390/data3040066.
dc.relation.referencesen[3] S. Evert, B. Krenn, Methods for the qualitative evaluation of lexical association measures, in: Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics, Toulouse, France, 2001. pp. 188–195.
dc.relation.referencesen[4] XAIRA corpus manager, URL: http://xaira.sourceforge.net/
dc.relation.urihttps://www.semanticscholar.org/paper/Stanford-typed-dependencies-manual-Marnee-Manning/
dc.relation.urihttps://doi.org/10.3390/data3040066
dc.relation.urihttp://xaira.sourceforge.net/
dc.rights.holdercopyrighted by its editors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
dc.rights.holder© 2021 Copyright for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and
dc.subjectCollocation
dc.subjectVerb-Noun pattern
dc.subjectStanford UD parser
dc.subjectt-score
dc.subjectdata stream
dc.subjectcorpus of news texts
dc.titleAn Approach to Extraction of Verb-Noun Patterns from News Data Stream
dc.typeArticle

Files

Original bundle

Now showing 1 - 2 of 2
Thumbnail Image
Name:
2021vVol_II___Proceedings_of_the_5th_International_conference_COLINS_2021_Workshop_Kharkiv_Ukraine_April_22-23_Romanova_U-An_Approach_to_Extraction_86-87.pdf
Size:
223.88 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
2021vVol_II___Proceedings_of_the_5th_International_conference_COLINS_2021_Workshop_Kharkiv_Ukraine_April_22-23_Romanova_U-An_Approach_to_Extraction_86-87__COVER.png
Size:
1.07 MB
Format:
Portable Network Graphics
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.76 KB
Format:
Plain Text
Description:
Download

Collections

Computational linguistics and intelligent systems. – 2021 р.