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        <title>Homonym normalisation by word sense clustering: a case in Japanese</title>
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            <title>Proceedings of the 28th International Conference on Computational Linguistics</title>
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            <namePart type="given">Donia</namePart>
            <namePart type="family">Scott</namePart>
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        <name type="personal">
            <namePart type="given">Nuria</namePart>
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            <namePart type="given">Chengqing</namePart>
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    <abstract>This work presents a method of word sense clustering that differentiates homonyms and merge homophones, taking Japanese as an example, where orthographical variation causes problem for language processing. It uses contextualised embeddings (BERT) to cluster tokens into distinct sense groups, and we use these groups to normalise synonymous instances to a single representative form. We see the benefit of this normalisation in language model, as well as in transliteration.</abstract>
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    <identifier type="doi">10.18653/v1/2020.coling-main.295</identifier>
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%0 Conference Proceedings
%T Homonym normalisation by word sense clustering: a case in Japanese
%A Sato, Yo
%A Heffernan, Kevin
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F sato-heffernan-2020-homonym
%X This work presents a method of word sense clustering that differentiates homonyms and merge homophones, taking Japanese as an example, where orthographical variation causes problem for language processing. It uses contextualised embeddings (BERT) to cluster tokens into distinct sense groups, and we use these groups to normalise synonymous instances to a single representative form. We see the benefit of this normalisation in language model, as well as in transliteration.
%R 10.18653/v1/2020.coling-main.295
%U https://aclanthology.org/2020.coling-main.295
%U https://doi.org/10.18653/v1/2020.coling-main.295
%P 3324-3332

Markdown (Informal)

[Homonym normalisation by word sense clustering: a case in Japanese](https://aclanthology.org/2020.coling-main.295) (Sato & Heffernan, COLING 2020)

• Homonym normalisation by word sense clustering: a case in Japanese (Sato & Heffernan, COLING 2020)

ACL

• Yo Sato and Kevin Heffernan. 2020. Homonym normalisation by word sense clustering: a case in Japanese. In Proceedings of the 28th International Conference on Computational Linguistics, pages 3324–3332, Barcelona, Spain (Online). International Committee on Computational Linguistics.