Term identification in the biomedical literature

By Michael Krauthammer, Goran Nenadic. Journal of Biomedical Informatics, 2004

354 citations recorded by the source corpus.

How researchers see this paper

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Extracting interactions between proteins from the literature (2008, background): “Before the extraction of protein–protein interactions, it is crucial to facilitate the identification of protein names, which still remains a challenging problem [16].”
What can Natural Language Processing do for Clinical Decision Support? (2009, background): “tion in biomedical literature is provided in Krauthammer and Nenadic [48].”
Text mining and ontologies in biomedicine: Making sense of raw text (2005, background): “36 As already mentioned, the mapping between terms (in text) and concepts (in an ontology) is not trivial.”
A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries (2011, positive): “When mining biomedical literature, researchers have developed various NER methods for biological entities, such as gene/protein names, including rule-based methods that rely on existing biomedical databases/dictionaries,(14) and ML-based methods that are trained on available annotated data sets.(15)”