Cargando…
Detecting modification of biomedical events using a deep parsing approach
BACKGROUND: This work describes a system for identifying event mentions in bio-molecular research abstracts that are either speculative (e.g. analysis of IkappaBalpha phosphorylation, where it is not specified whether phosphorylation did or did not occur) or negated (e.g. inhibition of IkappaBalpha...
Autores principales: | MacKinlay, Andrew, Martinez, David, Baldwin, Timothy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3339397/ https://www.ncbi.nlm.nih.gov/pubmed/22595089 http://dx.doi.org/10.1186/1472-6947-12-S1-S4 |
Ejemplares similares
-
Word sense disambiguation for event trigger word detection in biomedicine
por: Martinez, David, et al.
Publicado: (2011) -
Optimizing graph-based patterns to extract biomedical events from the literature
por: Liu, Haibin, et al.
Publicado: (2015) -
Combining joint models for biomedical event extraction
por: McClosky, David, et al.
Publicado: (2012) -
From POS tagging to dependency parsing for biomedical event extraction
por: Nguyen, Dat Quoc, et al.
Publicado: (2019) -
Dependency parsing of biomedical text with BERT
por: Kanerva, Jenna, et al.
Publicado: (2020)