Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model

Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model

Abstract Background Biomedical text mining is a technique that extracts essential information from scientific articles using named entity recognition (NER). Traditional NER methods rely on dictionaries, rules, or curated corpora, which may not always be accessible. To overcome these challenges, deep...

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Bibliographic Details
Main Authors: Ram Chandra Bhushan, Rakesh Kumar Donthi, Yojitha Chilukuri, Ulligaddala Srinivasarao, Polisetty Swetha
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Bioinformatics
Subjects:
Biomedical name
Recognition
Word embedding
ROBERT-WWM
Bi-GRU
Hierarchical ResNet
Online Access:https://doi.org/10.1186/s12859-024-06008-w
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https://doi.org/10.1186/s12859-024-06008-w

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