Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources

• Published in: Journal of biomedical semantics Vol. 4; no. 1; p. 28
• Main Authors: Rebholz-Schuhmann, Dietrich, Kafkas, Senay, Kim, Jee-Hyub, Li, Chen, Jimeno Yepes, Antonio, Hoehndorf, Robert, Backofen, Rolf, Lewin, Ian
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 11.10.2013; BioMed Central
• Subjects: Annotations; Filtration; Genes; Genetic research; Identification; Impact analysis; Learning algorithms; Machine learning; Marking; Names; Parameter identification; Proteins; Recall; Scientific literature; Semantics; Switzerland

The identification of protein and gene names (PGNs) from the scientific literature requires semantic resources: Terminological and lexical resources deliver the term candidates into PGN tagging solutions and the gold standard corpora (GSC) train them to identify term parameters and contextual featur...