Papers by Koki Horiguchi
Evaluation Dataset for Japanese Medical Text Simplification (2024.naacl-srw)
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| Challenge: | Existing studies on medical text simplification in English have not been well explored in Japanese because of the lack of a parallel corpus of this domain. |
| Approach: | They propose a lexically constrained reranking method that allows to avoid technical terms to be output. |
| Outcome: | The proposed method improves on the weblogs of Japanese patients and reduces the need for a training corpus. |
MultiMSD: A Corpus for Multilingual Medical Text Simplification from Online Medical References (2025.findings-acl)
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| Challenge: | Medical texts contain technical terms, and non-experts often cannot use information effectively. |
| Approach: | They propose a method for training medical text simplification models to actively paraphrase medical terms. |
| Outcome: | The proposed method improves the performance of medical text simplification in nine languages. |