Examining the Effect of the Ratio of Biomedical Domain to General Domain Data in Corpus in Biomedical Literature Mining

Examining the Effect of the Ratio of Biomedical Domain to General Domain Data in Corpus in Biomedical Literature Mining

Biomedical terms extracted using Word2vec, the most popular word embedding model in recent years, serve as the foundation for various natural language processing (NLP) applications, such as biomedical information retrieval, relation extraction, and recommendation systems. The objective of this study...

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Bibliographic Details
Main Authors: Ziheng Zhang, Feng Han, Hongjian Zhang, Tomohiro Aoki, Katsuhiko Ogasawara
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
biomedical literature mining (BLM)
natural language processing (NLP)
Word2vec
Online Access:https://www.mdpi.com/2076-3417/12/1/154

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