Importance

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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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First Claim