http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2016232441-A1

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filingDate 2015-02-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d7cdd76e17e94f5b96237ee1c06ec86f
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publicationDate 2016-08-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2016232441-A1
titleOfInvention Scoring type coercion for question answering
abstract According to an aspect, type coercion scoring is implemented by a processor executing computer readable instructions. The computer readable instructions include generating features from an information source, grouping the features based on type coercion between corresponding features, and creating a deep learning model for generating concepts from the grouped features. The deep learning model is implemented by a multi-layered neural network. The computer readable instructions further include training the deep learning model with labeled and unlabeled data; extracting, from the trained model, concepts determined to have type coercion with respect to each other; and creating a type coercion model from the extracted concepts and from type coercion ground truth.
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Total number of triples: 27.