Named Entity Recognition Problem for Long Entities in English Texts

Shatalov, O.; Ryabova, N.

Публікація:
Named Entity Recognition Problem for Long Entities in English Texts

dc.contributor.author	Shatalov, O.
dc.contributor.author	Ryabova, N.
dc.date.accessioned	2022-01-17T14:20:14Z
dc.date.available	2022-01-17T14:20:14Z
dc.date.issued	2021
dc.description.abstract	This paper is related to the problem of natural language processing (NLP), namely the named entity recognition (NER). This paper reveals the features of named entities recognition in English texts using deep learning (DL). The peculiarity of the study was the rather long length of the presented named entities: many of them could include a rather large number of words. The main problem was the amount of text that had to be recognized as a single entity. The results of the research are described here show the effectiveness of using deep neural network architectures for the task of recognizing long named entities in texts in English.	uk_UA
dc.identifier.citation	O. Shatalov and N. Ryabova, "Named Entity Recognition Problem for Long Entities in English Texts," 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT), 2021, pp. 76-79, doi: 10.1109/CSIT52700.2021.9648768.	uk_UA
dc.identifier.isbn	Electronic ISBN:978-1-6654-4257-2 Print on Demand(PoD) ISBN:978-1-6654-4258-9
dc.identifier.issn	Electronic ISSN: 2766-3639 Print on Demand(PoD) ISSN: 2766-3655
dc.identifier.other	DOI: 10.1109/CSIT52700.2021.9648768
dc.identifier.uri	https://ieeexplore.ieee.org/document/9648768
dc.identifier.uri	https://openarchive.nure.ua/handle/document/19193
dc.language.iso	en	uk_UA
dc.relation.ispartofseries	Volume 1;pp. 76-79
dc.subject	Natural Language Processing	uk_UA
dc.subject	Named Entity Recognition	uk_UA
dc.title	Named Entity Recognition Problem for Long Entities in English Texts	uk_UA
dc.type	Conference proceedings	uk_UA
dspace.entity.type	Publication