URL: http://www.nactem.ac.uk/GREC/
Proper Citation: GREC Corpus (RRID:SCR_006719)
Description: A semantically annotated corpus of 240 MEDLINE abstracts (167 on the subject of E. coli species and 73 on the subject of the Human species) intended for training information extraction (IE) systems and/or resources which are used to extract events from biomedical literature. The corpus has been manually annotated with events relating to gene regulation by biologists. Each event is centered on either a verb (e.g. transcribe) or nominalized verb (e.g. transcription) and annotation consists of identifying, as exhaustively as possible, the structurally-related arguments of the verb or nominalized verb within the same sentence. Each event argument is then assigned the following information: * A semantic role from a fixed set of 13 roles which are tailored to the biomedical domain. * A biomedical concept type (where appropriate). The corpus in available for download in 2 formats: * A standoff format, based on the BioNLP'09 Shared Task format * An XML format, based on the GENIA event annotation format
Abbreviations: GREC
Synonyms: Gene Event Regulation Corpus
Resource Type: training set
Defining Citation: PMID:19852798
Keywords: annotation, information extraction, text mining, semantic role, semantic search, gene, computational linguistics, gene regulation
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