Do Japanese word-embedded representations obtained in the academic corpus retain the medical concepts of “infarction”?

Author:

Yokokawa Daiki,Noda Kazutaka,Uehara Takanori,Yanagita Yasutaka,Ohira Yoshiyuki,Ikusaka Masatomi

Funder

Chiba University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference20 articles.

1. Word2Vec. https://code.google.com/p/word2vec Accessed August 19, 2021.

2. T. Mikolov, K. Chen, G. Corrado, et al, Efficient Estimation of Word Representations in Vector Space, arXiv prepr arXiv:1301.3781 (2013).

3. Text information clustering in scenes using word2vec;Shinahara,2015

4. Corpus domain effects on distributional semantic modeling of medical terms;Pakhomov;Bioinf.,2016

5. Word embedding for the French natural language in health care: comparative study;Dynomant;JMIR Med Inform,2019

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