CNN-based ranking for biomedical entity normalization
Abstract Background Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architect...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-10-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-017-1805-7 |