Drug-drug interaction extraction from biomedical texts using long short-term memory network

Author:

Sahu Sunil Kumar,Anand AshishORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference47 articles.

1. Researchers sound alarm on ‘silent’ drug interactions;Hutson;Nat. Med.,2011

2. I. Segura Bedmar, P. Martinez, D. Sánchez Cisneros, The 1st DDIExtraction-2011 challenge task: Extraction of Drug-Drug Interactions from biomedical texts, in: Proceedings of the 1st Challenge Task on Drug-Drug Interaction Extraction 2011, SEPLN 2011 Workshop, Spain, 2011.

3. I. Segura-Bedmar, P. Martínez, M. Herrero Zazo, SemEval-2013 Task 9: Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013), in: Second Joint Conference on Lexical and Computational Semantics (∗SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), Association for Computational Linguistics, Atlanta, Georgia, USA, 2013, pp. 341–350.

4. Text mining resources for the life sciences;Przybyła;Database,2016

5. Pressing needs of biomedical text mining in biocuration and beyond: opportunities and challenges;Singhal;Database,2016

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