Biomedical Named Entity Recognition through spaCy: A Visual Exploration-Reference-Cited by-同舟云学术

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Biomedical Named Entity Recognition through spaCy: A Visual Exploration

Published:2024-05-02 Issue: Volume:29 Page:17-22
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
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Author:

Yenkikar Anuradha¹,Bali Manish²,Patil Rutuja Rajendra³,Mirajkar Riddhi¹,Ara Tabassum⁴

Affiliation:

1. Vishwakarma Institute of Information Technology,Department of CSE – Artificial Intelligence,Pune,India

2. Presidency University,Department of Computer Science and Engineering,Bengaluru,Karnataka,India

3. Vishwakarma Institute of Information Technology,Department of Information Technology,Pune,India

4. HKBK College of Engineering,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10551087.pdf?arnumber=10551087

Reference26 articles.

1. An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

2. SemEval-2013 Task 9: Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013);Segura-Bedmar,2013

3. The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

4. miRCancer: a microRNA-cancer association database constructed by text mining on literature;Xie;Bioinformatics,2013

5. A Multichannel Biomedical Named Entity Recognition Model Based on Multitask Learning and Contextualized Word Representations;Wei et al;Wireless Communications and Mobile Computing,2020

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