Disease-Pertinent Knowledge Extraction in Online Health Communities Using GRU Based on a Double Attention Mechanism

Disease-Pertinent Knowledge Extraction in Online Health Communities Using GRU Based on a Double Attention Mechanism

Relationship extraction among diseases, symptoms and tests has always been a concerning research issue in the biomedical field. Disease-pertinent relationship extraction for user-generated content in the online health community represents a research trend. By training the word embedding vectors for...

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Bibliographic Details
Main Authors: Yanli Zhang, Xinmiao Li, Zhe Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Knowledge extraction
relationship extraction
attention mechanism
deep learning
bidirectional gated recurrent unit (BiGRU)
online health community
Online Access:https://ieeexplore.ieee.org/document/9096328/

Internet

https://ieeexplore.ieee.org/document/9096328/

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