BioNLP

GPTKB entity

Statements (61)
Predicate Object
gptkbp:instanceOf research
gptkbp:appliesTo biomedical literature
clinical records
gptkbp:focusesOn natural language processing
biomedical text
gptkbp:fullName Biomedical Natural Language Processing
gptkbp:goal support biomedical research
automate literature curation
enable clinical decision support
improve biomedical information access
gptkbp:hasApplication question answering
semantic search
named entity recognition
information extraction
document classification
relation extraction
literature curation
ontology population
gptkbp:hasEvent gptkb:BioCreative_Challenge
gptkb:BioNLP_Shared_Task
gptkb:BioNLP_Workshop
https://www.w3.org/2000/01/rdf-schema#label BioNLP
gptkbp:publishedIn gptkb:BMC_Bioinformatics
gptkb:Bioinformatics_(journal)
gptkb:Journal_of_Biomedical_Semantics
Journal of Biomedical Informatics
gptkbp:relatedTo gptkb:machine_learning
bioinformatics
computational linguistics
text mining
gptkbp:uses gptkb:BioBERT
gptkb:SciBERT
gptkb:UMLS
gptkb:MeSH
gptkb:Gene_Ontology
gptkb:OMIM
gptkb:NLTK
gptkb:spaCy
gptkb:PubMed
gptkb:ELMo
gptkb:PMC
gptkb:SNOMED_CT
gptkb:BERT
deep learning
word embeddings
electronic health records
natural language understanding
ontologies
machine learning algorithms
semantic analysis
entity linking
corpora
syntactic parsing
text annotation
transformer models
PubMedBERT
clinical trial reports
named entity recognition models
relation extraction models
gptkbp:bfsParent gptkb:ANThology
gptkbp:bfsLayer 7