@inproceedings{sugihara-etal-2024-semi,
title = "Semi-automatic Construction of a Word Complexity Lexicon for {J}apanese Medical Terminology",
author = "Sugihara, Soichiro and
Kajiwara, Tomoyuki and
Ninomiya, Takashi and
Wakamiya, Shoko and
Aramaki, Eiji",
editor = "Naumann, Tristan and
Ben Abacha, Asma and
Bethard, Steven and
Roberts, Kirk and
Bitterman, Danielle",
booktitle = "Proceedings of the 6th Clinical Natural Language Processing Workshop",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.clinicalnlp-1.29/",
doi = "10.18653/v1/2024.clinicalnlp-1.29",
pages = "329--333",
abstract = "We construct a word complexity lexicon for medical terms in Japanese.To facilitate communication between medical practitioners and patients, medical text simplification is being studied.Medical text simplification is a natural language processing task that paraphrases complex technical terms into expressions that patients can understand.However, in contrast to English, where this task is being actively studied, there are insufficient language resources in Japanese.As a first step in advancing research on medical text simplification in Japanese, we annotate the 370,000 words from a large-scale medical terminology lexicon with a five-point scale of complexity for patients."
}
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%0 Conference Proceedings
%T Semi-automatic Construction of a Word Complexity Lexicon for Japanese Medical Terminology
%A Sugihara, Soichiro
%A Kajiwara, Tomoyuki
%A Ninomiya, Takashi
%A Wakamiya, Shoko
%A Aramaki, Eiji
%Y Naumann, Tristan
%Y Ben Abacha, Asma
%Y Bethard, Steven
%Y Roberts, Kirk
%Y Bitterman, Danielle
%S Proceedings of the 6th Clinical Natural Language Processing Workshop
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F sugihara-etal-2024-semi
%X We construct a word complexity lexicon for medical terms in Japanese.To facilitate communication between medical practitioners and patients, medical text simplification is being studied.Medical text simplification is a natural language processing task that paraphrases complex technical terms into expressions that patients can understand.However, in contrast to English, where this task is being actively studied, there are insufficient language resources in Japanese.As a first step in advancing research on medical text simplification in Japanese, we annotate the 370,000 words from a large-scale medical terminology lexicon with a five-point scale of complexity for patients.
%R 10.18653/v1/2024.clinicalnlp-1.29
%U https://aclanthology.org/2024.clinicalnlp-1.29/
%U https://doi.org/10.18653/v1/2024.clinicalnlp-1.29
%P 329-333
Markdown (Informal)
[Semi-automatic Construction of a Word Complexity Lexicon for Japanese Medical Terminology](https://aclanthology.org/2024.clinicalnlp-1.29/) (Sugihara et al., ClinicalNLP 2024)
ACL