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BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework

2022-09-12

Abstract excerpt

<h4>Background: </h4> Automatic and accurate recognition of various biomedical named entities from literature is an important task of biomedical text mining, which is the foundation of extracting biomedical knowledge from unstructured texts into structured formats. Using the sequence labeling framework and deep neural networks to implement biomedical named entity recognition (BioNER) is a common method at present....

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Literature Corpus work: 1ed03f4b-bebe-5f77-bd29-d8736e707564
DOI: 10.21203/rs.3.rs-2032932/v1

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