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doi: 10.5281/zenodo.29893
A set of 3000 abstracts from PubMed were annotated for sentence-bound chemical-induced disease relationships in order to train a machine learning algorithm for the BioCreative V challenge.
Natural language processing, Relation corpus, Crowdsourcing, Relation extraction
Natural language processing, Relation corpus, Crowdsourcing, Relation extraction
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