The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track
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چکیده
منابع مشابه
The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track
Network-based approaches have become extremely important in systems biology to achieve a better understanding of biological mechanisms. For network representation, the Biological Expression Language (BEL) is well designed to collate findings from the scientific literature into biological network models. To facilitate encoding and biocuration of such findings in BEL, a BEL Information Extraction...
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We tested a rule-based semantic parser in the BEL statement extraction task of BioCreative V Track4 challenge. While the system achieved an overall F-measure of 21.29% with gold standard entities, it achieved a very low performance of 13.86% with the entities extracted by ensemble of NER systems on test data set. For relation extraction, the system achieved a F-measure of 65.13% on test data se...
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Automatic extraction of biological network information is one of the most desired and most complex tasks in biological text mining. The BioCreative track 4 provides training data and an evaluation environment for the extraction of causal relationships in Biological Expression Language (BEL). BEL is a modeling language that is easily editable by humans or by automatic systems and can express cau...
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Biological networks are important for biologists to represent and understand biological systems. These networks can be represented by languages such as BEL and SBML. Automatically extracting these descriptions and representing them in the biological system languages can improve the efficiency of constructing these networks. In this paper, we expand our previous Named Entity Recognition and Norm...
متن کاملThe Bayesian Description Logic BEL
We introduce the probabilistic Description Logic BEL. In BEL, axioms are required to hold only in an associated context. The probabilistic component of the logic is given by a Bayesian network that describes the joint probability distribution of the contexts. We study the main reasoning problems in this logic; in particular, we (i) prove that deciding positive and almost-sure entailments is not...
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ژورنال
عنوان ژورنال: Database
سال: 2016
ISSN: 1758-0463
DOI: 10.1093/database/baw136