Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases

Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases

Abstract Background In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, thereby limiting their interpretability. Even though word embeddings are abl...

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Bibliographic Details
Main Authors: Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Word embedding
Semantic relation
UMLS
WordNet
Online Access:http://link.springer.com/article/10.1186/s12911-018-0630-x

Internet

http://link.springer.com/article/10.1186/s12911-018-0630-x

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