ANSWER CLASSIFIER AND REPRESENTATION GENERATOR FOR QUESTION-ANSWERING SYSTEM, AND COMPUTER PROGRAM FOR TRAINING THE REPRESENTATION GENERATOR

A program for training a representation generator generating a representation representing an answer part included in a passage to classify whether the passage is related to an answer or not. The program causes a computer to operate as: a fake representation generator responsive to a question and a...

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Hauptverfasser: OH, Jonghoon, TORISAWA, Kentaro, KADOWAKI, Kazuma, KLOETZER, Julien, IIDA, Ryu
Format: Patent
Sprache:eng
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Zusammenfassung:A program for training a representation generator generating a representation representing an answer part included in a passage to classify whether the passage is related to an answer or not. The program causes a computer to operate as: a fake representation generator responsive to a question and a passage for outputting a fake representation representing an answer part of the passage; a real representation generator for outputting, for the question and a core answer, a real representation representing the core answer, in the same format as fake representation; a discriminator for discriminating whether fake representation and real representation are a real or fake representation; and a generative adversarial network unit training the discriminator and fake representation generator through generative adversarial network such that error determination of fake representation is maximized and error determination of real representation is minimized.