An integrated pipeline model for biomedical entity alignment

Author:

Hu Yu,Nie Tiezheng,Shen Derong,Kou Yue,Yu Ge

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Reference47 articles.

1. Amith M, Zhang Y, Xu H, Tao C. Knowledge-based approach for named entity recognition in biomedical literature: a use case in biomedical software identification, In: Benferhat S, Tabia K, Ali M, eds. Advances in Artificial Intelligence: From Theory to Practice. Springer, Cham, 2017

2. Dang T H, Le H Q, Trang M N. D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information. Bioinformatics, 2018, 34(20): 3539–3546

3. Dieter G, Ivan L, Kirill A V. Exploiting and assessing multi-source data for supervised biomedical named entity recognition. Bioinformatics, 2018, 34(14): 2474–2482

4. Lossio-Ventura J A, Bian J, Jonguet C, Roche M, Teisseire M. A novel framework for biomedical entity sense induction. Journal of Biomedical Informatics, 2018, 84: 31–41

5. Chris J L, Destinee T, Lynn M C. Enhanced lexsynonym acquisition for effective UMLS concept mapping. In: Proceedings of the 16th World Congress on Medical and Health Informatics. 2017, 501–505

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