Biomedical semantic indexing by deep neural network with multi-task learning.

Journal: BMC bioinformatics

PMID: 30577745

Abstract

BACKGROUND: Biomedical semantic indexing is important for information retrieval and many other research fields in bioinformatics. It annotates biomedical citations with Medical Subject Headings. In face of unbalanced category distribution in the training data, sampling methods are difficult to apply for semantic indexing task.

Authors

Yongping Du

Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Yunpeng Pan

Faculty of Information Technology, Beijing University of Technology, Beijing, China. pypmemorypool@gmail.com.
Chencheng Wang

Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Junzhong Ji

Faculty of Information Technology, Beijing University of Technology, Beijing, China.

Keywords

Abstracting and Indexing Algorithms Deep Learning Humans Neural Networks, Computer Semantics

External Resources

View on PubMed Access via DOI PubMed (30577745)

Biomedical semantic indexing by deep neural network with multi-task learning.

Abstract

Authors

Keywords

External Resources

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