Multiple-level biomedical event trigger recognition with transfer learning

BMC Bioinformatics

Table 1 Named entity and trigger types in Data_MLEE, Data_ST09 and Data_EPI11, respectively

Corpus	Named entity type	Trigger type
Data _ST09	Protein	Gene expression*
		Transcription, Binding
		Protein catabolism*
		Phosphorylation*
		Localization, Regulation
		Positive regulation*
		Negative regulation*
Data _EPI11	Protein	Hydroxylation, Dehydroxylation
		Phosphorylation+, Deglycosylation
		Dephosphorylation+, Catalysis
		Ubiquitination, Acetylation
		Deubiquitination
		DNA methylation
		DNA demethylation
		Glycosylation, Deacetylation
		Methylation, Demethylation
Data _MLEE	Gene or gene product	Cell proliferation, Planned process
	Drug or compound	Development, Binding*
	Developing anatomical structure	Blood vessel develop
	Organ, Tissue	Growth, Death, Regulation*
	Immaterial anatomical entity	Breakdown, Remodeling
	Anatomical system	Synthesis, Localization*
	Organism, Cell	Gene expression*
	Pathological formation	Transcription*
	Organism subdivision	Protein catabolism*
	Multi-tissue structure	Phosphorylation*+
	Cellular component	Dephosphorylation+
	Organism substance	Positive regulation*
		Negative regulation*

In the trigger types of Data_MLEE, the labels overlapped with Data_ST09 are marked using ‘*’, and the labels overlapped with Data_EPI11 are marked using ‘+’

ISSN: 1471-2105