A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining

A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining

The amount of biomedical literature is vast and growing quickly, and accurate text mining techniques could help researchers to efficiently extract useful information from the literature. However, existing named entity recognition models used by text mining tools such as tmTool and ezTag are not effe...

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Bibliographic Details
Main Authors: Donghyeon Kim, Jinhyuk Lee, Chan Ho So, Hwisang Jeon, Minbyul Jeong, Yonghwa Choi, Wonjin Yoon, Mujeen Sung, Jaewoo Kang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biomedical text mining
decision rules
multi-type
named entity recognition
neural networks
normalization
Online Access:https://ieeexplore.ieee.org/document/8730332/

Internet

https://ieeexplore.ieee.org/document/8730332/

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