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        <title>Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts</title>
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    <name type="personal">
        <namePart type="given">Aleksandra</namePart>
        <namePart type="family">Konovalova</namePart>
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    <name type="personal">
        <namePart type="given">Antonio</namePart>
        <namePart type="family">Toral</namePart>
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    <name type="personal">
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            <title>Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop</title>
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        <name type="personal">
            <namePart type="given">Daphne</namePart>
            <namePart type="family">Ippolito</namePart>
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        <name type="personal">
            <namePart type="given">Liunian</namePart>
            <namePart type="given">Harold</namePart>
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            <namePart type="given">Danqi</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/2022.naacl-srw.16</identifier>
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%0 Conference Proceedings
%T Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts
%A Konovalova, Aleksandra
%A Toral, Antonio
%A Taivalkoski-Shilov, Kristiina
%Y Ippolito, Daphne
%Y Li, Liunian Harold
%Y Pacheco, Maria Leonor
%Y Chen, Danqi
%Y Xue, Nianwen
%S Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
%D 2022
%8 July
%I Association for Computational Linguistics
%C Hybrid: Seattle, Washington + Online
%F konovalova-etal-2022-dr
%X 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.
%R 10.18653/v1/2022.naacl-srw.16
%U https://aclanthology.org/2022.naacl-srw.16
%U https://doi.org/10.18653/v1/2022.naacl-srw.16
%P 123-128

Markdown (Informal)

[Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts](https://aclanthology.org/2022.naacl-srw.16) (Konovalova et al., NAACL 2022)

• Dr. Livingstone, I presume? Polishing of foreign character identification in literary texts (Konovalova et al., NAACL 2022)

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.