Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac342
Abstract: The rapid development of biomedicine has produced a large number of biomedical written materials. These unstructured text data create serious challenges for biomedical researchers to find information. Biomedical named entity recognition (BioNER) and biomedical relation… read more here.
Keywords: bioner; entity recognition; relation extraction; bioner biore ... See more keywords
AIONER: All-in-one scheme-based biomedical named entity recognition using deep learning
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad310
Abstract: MOTIVATION Biomedical named entity recognition (BioNER) seeks to automatically recognize biomedical entities in natural language text, serving as a necessary foundation for downstream text mining tasks and applications such as information extraction and question answering.… read more here.
Keywords: bioner; entity recognition; entity; deep learning ... See more keywords
Transferring from Textual Entailment to Biomedical Named Entity Recognition.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3236477
Abstract: Biomedical Named Entity Recognition (BioNER) aims at identifying biomedical entities such as genes, proteins, diseases, and chemical compounds in the given textual data. However, due to the issues of ethics, privacy, and high specialization of… read more here.
Keywords: bioner; entity recognition; textual entailment; named entity ... See more keywords