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

Aleksandra Konovalova; Antonio Toral; Kristiina Taivalkoski-Shilov

doi:10.18653/v1/2022.naacl-srw.16

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

Aleksandra Konovalova, Antonio Toral, Kristiina Taivalkoski-Shilov

Computational Linguistics (CL)

Onderzoeksoutput › Academic › peer review

2 Citaten (Scopus)

56 Downloads (Pure)

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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.

Originele taal-2	English
Titel	Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitel	Human Language Technologies: Student Research Workshop
Redacteuren	Daphne Ippolito, Liunian Harold Li, Maria Leonor Pacheco, Danqi Chen, Nianwen Xue
Plaats van productie	Seattle, Washington
Uitgeverij	Association for Computational Linguistics, ACL Anthology
Pagina's	123-128
Aantal pagina's	6
DOI's	https://doi.org/10.18653/v1/2022.naacl-srw.16
Status	Published - 1-jul.-2022

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10.18653/v1/2022.naacl-srw.16Licentie: CC BY

Dr. Livingstone, I presume? Polishing of foreign character identification in literary textsFinal publisher's version, 125 KBLicentie: CC BY

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Konovalova, A., Toral, A., & Taivalkoski-Shilov, K. (2022). Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts. In D. Ippolito, L. H. Li, M. L. Pacheco, D. Chen, & N. Xue (editors), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop (blz. 123-128). Association for Computational Linguistics, ACL Anthology. https://doi.org/10.18653/v1/2022.naacl-srw.16

Konovalova, Aleksandra ; Toral, Antonio ; Taivalkoski-Shilov, Kristiina. / Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop. redacteur / Daphne Ippolito ; Liunian Harold Li ; Maria Leonor Pacheco ; Danqi Chen ; Nianwen Xue. Seattle, Washington : Association for Computational Linguistics, ACL Anthology, 2022. blz. 123-128

@inproceedings{c57a3155dcd14fc6999883924425189b,

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

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.",

author = "Aleksandra Konovalova and Antonio Toral and Kristiina Taivalkoski-Shilov",

year = "2022",

month = jul,

day = "1",

doi = "10.18653/v1/2022.naacl-srw.16",

language = "English",

pages = "123--128",

editor = "Daphne Ippolito and Li, {Liunian Harold} and Pacheco, {Maria Leonor} and Danqi Chen and Nianwen Xue",

booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics, ACL Anthology",

}

Konovalova, A, Toral, A & Taivalkoski-Shilov, K 2022, Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts. in D Ippolito, LH Li, ML Pacheco, D Chen & N Xue (uitgave), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop. Association for Computational Linguistics, ACL Anthology, Seattle, Washington, blz. 123-128. https://doi.org/10.18653/v1/2022.naacl-srw.16

Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts. / Konovalova, Aleksandra; Toral, Antonio; Taivalkoski-Shilov, Kristiina.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop. uitgave / Daphne Ippolito; Liunian Harold Li; Maria Leonor Pacheco; Danqi Chen; Nianwen Xue. Seattle, Washington: Association for Computational Linguistics, ACL Anthology, 2022. blz. 123-128.

Onderzoeksoutput › Academic › peer review

TY - GEN

T1 - Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts

AU - Konovalova, Aleksandra

AU - Toral, Antonio

AU - Taivalkoski-Shilov, Kristiina

PY - 2022/7/1

Y1 - 2022/7/1

N2 - 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.

AB - 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.

U2 - 10.18653/v1/2022.naacl-srw.16

DO - 10.18653/v1/2022.naacl-srw.16

M3 - Conference contribution

SP - 123

EP - 128

BT - Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics

A2 - Ippolito, Daphne

A2 - Li, Liunian Harold

A2 - Pacheco, Maria Leonor

A2 - Chen, Danqi

A2 - Xue, Nianwen

PB - Association for Computational Linguistics, ACL Anthology

CY - Seattle, Washington

ER -

Konovalova A, Toral A, Taivalkoski-Shilov K. Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts. In Ippolito D, Li LH, Pacheco ML, Chen D, Xue N, redacteurs, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop. Seattle, Washington: Association for Computational Linguistics, ACL Anthology. 2022. blz. 123-128 doi: 10.18653/v1/2022.naacl-srw.16

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

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