Patent Document ID: 9454725
Application ID: 14656990

Base Claim:
1. A method, comprising: creating a multi-layered neural network from domain knowledge; training the multi-layered neural network with labeled data and unlabeled data; inputting at least one of an existing passage justification component and raw input data for a question and passage to the trained multi-layered neural network; extracting, via the trained multi-layered neural network and from results of inputting the at least one existing passage justification component and raw input data for a question and passage, concepts determined to have passage justification; creating, via machine learning, a passage justification model from the extracted concepts and from passage justification; and scoring, via the passage justification model, the extracted concepts.

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Claim 8:
8. The method of claim 1 , wherein the multi-layered neural network includes at least one of a convolutional neural network and a deep neural network.