Embedding of semantic predications
نویسندگان
چکیده
منابع مشابه
Exploiting Semantic Predications in a Graph Database
Knowledge extraction using semantic relations is crucial for accurate and valid knowledge management in biomedicine. The Semantic MEDLINE Database (SemMedDB) contains semantic predications extracted with the SemRep semantic interpreter. Predications are structured as subject-predicate-object triples and can be represented as a directed network. Arguments correspond to UMLS Metathesaurus concept...
متن کاملSemMedDB: a PubMed-scale repository of biomedical semantic predications
SUMMARY Effective access to the vast biomedical knowledge present in the scientific literature is challenging. Semantic relations are increasingly used in knowledge management applications supporting biomedical research to help address this challenge. We describe SemMedDB, a repository of semantic predications (subject-predicate-object triples) extracted from the entire set of PubMed citations....
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We describe a natural language processing system (Enhanced SemRep) to identify core assertions on pharmacogenomics in Medline citations. Extracted information is represented as semantic predications covering a range of relations relevant to this domain. The specific relations addressed by the system provide greater precision than that achievable with methods that rely on entity co-occurrence. T...
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We present an extension to literature-based discovery that goes beyond making discoveries to a principled way of navigating through selected aspects of some biomedical domain. The method is a type of "discovery browsing" that guides the user through the research literature on a specified phenomenon. Poorly understood relationships may be explored through novel points of view, and potentially in...
متن کاملDeep Semantic Embedding
We introduce Deep Semantic Embedding (DSE), a supervised learning algorithm which computes semantic representation for text documents by respecting their similarity to a given query. Unlike other methods that use singlelayer learning machines, DSE maps word inputs into a lowdimensional semantic space with deep neural network, and achieves a highly nonlinear embedding to model the human percepti...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2017
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2017.03.003