Abstract：
:Corpora with specific entities and relationships annotated are essential to train and evaluate text-mining systems that are developed to extract specific structured information from a large corpus. In this paper we describe an approach where a named-entity recognition system produces a first annotation and annotators revise this annotation using a web-based interface. The agreement figures achieved show that the inter-annotator agreement is much better than the agreement with the system provided annotations. The corpus has been annotated for drugs, disorders, genes and their inter-relationships. For each of the drug-disorder, drug-target, and target-disorder relations three experts have annotated a set of 100 abstracts. These annotated relationships will be used to train and evaluate text-mining software to capture these relationships in texts.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
van Mulligen EM,Fourrier-Reglat A,Gurwitz D,Molokhia M,Nieto A,Trifiro G,Kors JA,Furlong LIdoi
10.1016/j.jbi.2012.04.004subject
Has Abstractpub_date
2012-10-01 00:00:00pages
879-84issue
5eissn
1532-0464issn
1532-0480pii
S1532-0464(12)00057-3journal_volume
45pub_type
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