Cargando…
Identification of research hypotheses and new knowledge from scientific literature
BACKGROUND: Text mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative information, known as Meta-Knowledge (MK), from the context of relations and events,...
Autores principales: | Shardlow, Matthew, Batista-Navarro, Riza, Thompson, Paul, Nawaz, Raheel, McNaught, John, Ananiadou, Sophia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019216/ https://www.ncbi.nlm.nih.gov/pubmed/29940927 http://dx.doi.org/10.1186/s12911-018-0639-1 |
Ejemplares similares
-
Enriching a biomedical event corpus with meta-knowledge annotation
por: Thompson, Paul, et al.
Publicado: (2011) -
Event-based text mining for biology and functional genomics
por: Ananiadou, Sophia, et al.
Publicado: (2015) -
A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience
por: Shardlow, Matthew, et al.
Publicado: (2018) -
Extracting semantically enriched events from biomedical literature
por: Miwa, Makoto, et al.
Publicado: (2012) -
Text Mining the History of Medicine
por: Thompson, Paul, et al.
Publicado: (2016)