Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts

Aleksandra Konovalova, Antonio Toral, Kristiina Taivalkoski-Shilov


Abstract
Character identification is a key element for many narrative-related tasks. To implement it, the baseform of the name of the character (or lemma) needs to be identified, so different appearances of the same character in the narrative could be aligned. In this paper we tackle this problem in translated texts (English–Finnish translation direction), where the challenge regarding lemmatizing foreign names in an agglutinative language appears. To solve this problem, we present and compare several methods. The results show that the method based on a search for the shortest version of the name proves to be the easiest, best performing (83.4% F1), and most resource-independent.
Anthology ID:
2022.naacl-srw.16
Volume:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
Month:
July
Year:
2022
Address:
Hybrid: Seattle, Washington + Online
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
123–128
Language:
URL:
https://aclanthology.org/2022.naacl-srw.16
DOI:
10.18653/v1/2022.naacl-srw.16
Bibkey:
Cite (ACL):
Aleksandra Konovalova, Antonio Toral, and Kristiina Taivalkoski-Shilov. 2022. Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, pages 123–128, Hybrid: Seattle, Washington + Online. Association for Computational Linguistics.
Cite (Informal):
Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts (Konovalova et al., NAACL 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.naacl-srw.16.pdf
Video:
 https://aclanthology.org/2022.naacl-srw.16.mp4