Graph-Based Natural Language Processing for the Pharmaceutical Industry-Reference-Cited by-同舟云学术

Graph-Based Natural Language Processing for the Pharmaceutical Industry

Published:2020-12-28 Issue: Volume: Page:75-110
ISSN:1610-3947
Container-title:Provenance in Data Science
language:
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Author:

Dumitriu Alexandra,Molony Cliona,Daluwatte Chathuri

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-67681-0_6

Reference125 articles.

1. Abatemarco D, Perera S, Bao SH, Desai S, Assuncao B, Tetarenko N, Danysz K, Mockute R, Widdowson M, Fornarotto N, Beauchamp S, Cicirello S, Mingle E (2018) Training augmented intelligent capabilities for pharmacovigilance: Applying deep learning approaches to individual case safety report processing. Pharm Med 32(6):391–401. https://doi.org/10.1007/s40290-018-0251-9

2. Ali M, Hoyt CT, Domingo-Fernández D, Lehmann J, Jabeen HJB (2019) BioKEEN: A library for learning and evaluating biological knowledge graph embeddings. Bioinform 35(18):3538–3540. https://doi.org/10.1093/bioinformatics/btz117

3. Andrzejewski D, Zhu X (2009) Latent Dirichlet Allocation with topic-in-set knowledge. In: Proceedings of the NAACL HLT 2009 workshop on semi-supervised learning for natural language processing, Association for Computational Linguistics, pp 43–48. https://doi.org/10.3115/1621829.1621835

4. Annervaz K, Chowdhury SBR, Dukkipati A (2018) Learning beyond datasets: Knowledge graph augmented neural networks for natural language processing. https://arxiv.org/pdf/1802.05930.pdf

5. Aronson AR, Lang FM (2010) An overview of MetaMap: Historical perspective and recent advances. J Am Med Inform Assn 17(3):229–236. https://doi.org/10.1136/jamia.2009.002733

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