Language processing apparatus, image processing method, and program

A language processing device comprising:

• a hardware processor configured to
• extract a feature amount from text data based on model parameters of a neural network that are learned in advance;
• output an answer start point score, an answer end point score, and an answer possibility score using the feature amount as an input, based on model parameters of the neural network that are learned in advance;
• extract predetermined n answer suitability scores based on the answer start point score and the answer end point score;
• obtain n adjusted answer suitability scores from the n answer suitability scores and obtain an adjusted answer possibility score from the answer possibility score;
• and
• calculate a predicted answer, predicted answer reliability, predicted answer possibility, and reliability of predicted answer possibility from the n adjusted answer suitability scores and the adjusted answer possibility score,
• wherein the hardware processor is configured to extract the feature amount and output the answer start point score, the answer end point score, and the answer possibility score, based on the n answer suitability scores, the answer possibility score, a correct answer section, and a correct answer possibility.

A language processing method executed by a language processing device, the method comprising:

• extracting a feature amount from text data based on model parameters of a neural network;
• outputting an answer start point score, an answer end point score, and an answer possibility score using the feature amount as an input, based on model parameters of the neural network;
• extracting predetermined n answer suitability scores based on the answer start point score and the answer end point score;
• obtaining n adjusted answer suitability scores from the n answer suitability scores and obtaining an adjusted answer possibility score from the answer possibility score, based on model parameters of the neural network;
• and
• learning the model parameters based on the n adjusted answer suitability scores, the adjusted answer possibility score, a correct answer section, and a correct answer possibility.