Cargando…
Construction of an annotated corpus to support biomedical information extraction
BACKGROUND: Information Extraction (IE) is a component of text mining that facilitates knowledge discovery by automatically locating instances of interesting biomedical events from huge document collections. As events are usually centred on verbs and nominalised verbs, understanding the syntactic an...
Autores principales: | Thompson, Paul, Iqbal, Syed A, McNaught, John, Ananiadou, Sophia |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2774701/ https://www.ncbi.nlm.nih.gov/pubmed/19852798 http://dx.doi.org/10.1186/1471-2105-10-349 |
Ejemplares similares
-
Enriching a biomedical event corpus with meta-knowledge annotation
por: Thompson, Paul, et al.
Publicado: (2011) -
Extracting semantically enriched events from biomedical literature
por: Miwa, Makoto, et al.
Publicado: (2012) -
Normalizing biomedical terms by minimizing ambiguity and variability
por: Tsuruoka, Yoshimasa, et al.
Publicado: (2008) -
GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction
por: Oh, So-Yeon, et al.
Publicado: (2018) -
Event-based text mining for biology and functional genomics
por: Ananiadou, Sophia, et al.
Publicado: (2015)