Chemical-induced disease relation extraction via convolutional neural network

• DOI: 10.1093/database/bax024
• Publication Date: 2017-03-06T15:13:31Z
• Authors: Jinghang Gu; Fuqing Sun; Longhua Qian; Guodong Zhou
• Keywords: Relationship extraction

This article describes our work on the BioCreative-V chemical-disease relation (CDR) extraction task, which employed a maximum entropy (ME) model and convolutional neural network for at inter- intra-sentence level, respectively. In work, between entity concepts in documents was simplified to mentions. We first constructed pairs of chemical disease mentions as instances training testing stages, then we trained applied ME Finally, merged classification results from mention level document acquire final relations concepts. The evaluation CDR corpus shows effectiveness proposed approach.http://www.biocreative.org/resources/corpora/biocreative-v-cdr-corpus/.