https://oldena.lpnu.ua/handle/ntb/56803| Title: | An Approach to Extraction of Verb-Noun Patterns from News Data Stream |
| Authors: | Romanova, Uliana Petrasova, Svitlana |
| Affiliation: | National Technical University “Kharkiv Polytechnic Institute” |
| Bibliographic description (Ukraine): | Romanova 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. |
| Bibliographic description (International): | Romanova 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. |
| Is part of: | Computational linguistics and intelligent systems, 2021 |
| Issue Date: | 4-May-2021 |
| Place of the edition/event: | Львів ; Харків Lviv ; Kharkiv |
| Temporal Coverage: | 22-23 April 2021, Kharkiv |
| Keywords: | Collocation Verb-Noun pattern Stanford UD parser t-score data stream corpus of news texts |
| Number of pages: | 2 |
| Page range: | 86-87 |
| Start page: | 86 |
| End page: | 87 |
| Abstract: | 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/56803 |
| ISSN: | 2523-4013 |
| Copyright owner: | copyrighted 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 and |
| URL for reference material: | https://www.semanticscholar.org/paper/Stanford-typed-dependencies-manual-Marnee-Manning/ https://doi.org/10.3390/data3040066 http://xaira.sourceforge.net/ |
| References (Ukraine): | [1] M.-C. Marnee, Ch. D. Manning, Stanford typed dependencies manual, 2010, URL: https://www.semanticscholar.org/paper/Stanford-typed-dependencies-manual-Marnee-Manning/ [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. [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. [4] XAIRA corpus manager, URL: http://xaira.sourceforge.net/ |
| References (International): | [1] M.-C. Marnee, Ch. D. Manning, Stanford typed dependencies manual, 2010, URL: https://www.semanticscholar.org/paper/Stanford-typed-dependencies-manual-Marnee-Manning/ [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. [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. [4] XAIRA corpus manager, URL: http://xaira.sourceforge.net/ |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2021 р. |
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