Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
TERMinator: A system for scientific texts processing. / Бручес, Елена Павловна; Тихобаева, Ольга Юрьевна; Дементьева, Яна Юрьевна и др.
Proceedings of the 29th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2022. стр. 3420-3426.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - TERMinator: A system for scientific texts processing
AU - Бручес, Елена Павловна
AU - Тихобаева, Ольга Юрьевна
AU - Дементьева, Яна Юрьевна
AU - Батура, Татьяна Викторовна
N1 - Публикация для корректировки.
PY - 2022
Y1 - 2022
N2 - This paper is devoted to the extraction of entities and semantic relations between them from scientific texts, where we consider scientific terms as entities. In this paper, we present a dataset that includes annotations for two tasks and develop a system called TERMinator for the study of the influence of language models on term recognition and comparison of different approaches for relation extraction. Experiments show that language models pre-trained on the target language are not always show the best performance. Also adding some heuristic approaches may improve the overall quality of the particular task. The developed tool and the annotated corpus are publicly available at this https URL and may be useful for other researchers.
AB - This paper is devoted to the extraction of entities and semantic relations between them from scientific texts, where we consider scientific terms as entities. In this paper, we present a dataset that includes annotations for two tasks and develop a system called TERMinator for the study of the influence of language models on term recognition and comparison of different approaches for relation extraction. Experiments show that language models pre-trained on the target language are not always show the best performance. Also adding some heuristic approaches may improve the overall quality of the particular task. The developed tool and the annotated corpus are publicly available at this https URL and may be useful for other researchers.
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85164772357&origin=inward&txGid=6debfaa3a8ca659156ec0a76c2b0c0e5
M3 - Conference contribution
SP - 3420
EP - 3426
BT - Proceedings of the 29th International Conference on Computational Linguistics
PB - International Committee on Computational Linguistics
ER -
ID: 55716276