公开(公告)号：US20190332678A1

公开(公告)日：2019-10-31

申请号：US16504770

申请日：2019-07-08

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Ryo ISHIDA ,  Taketoshi NAKAO ,  Mikio MORIOKA

IPC: G06F17/28 ,  G06F17/27

Abstract: A sentence evaluation apparatus evaluates a sentence which is input. The sentence evaluation apparatus includes an acquisition device and a processor. The acquisition device acquires information indicating a first input sentence and information indicating a second input sentence. The processor executes information processing on the information acquired by the acquisition device, using an algorithm based on machine learning. The processor includes a first encoder that recognizes the first input sentence and a second encoder that recognizes the second input sentence, in the algorithm based on the machine learning. The processor generates evaluation information indicating evaluation on the first input sentence with reference to the second input sentence, based on a result of recognition by the first encoder on the first input sentence and a result of recognition by the second encoder on the second input sentence.

公开(公告)号：US20180336190A1

公开(公告)日：2018-11-22

申请号：US16048281

申请日：2018-07-29

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Ryo ISHIDA

IPC: G06F17/28 ,  G06N3/08

Abstract: An information processing device acts as a neural network based on time-series data. The information processing device includes a memory and a processor. The memory stores an input variable having an ordinal number in the time-series data, and a parameter group for the neural network. The processor calculates an intermediate variable for each ordinal number based on the input variable having the ordinal number by performing transformation based on the parameter group, and calculates an output variable having the ordinal number based on the calculated intermediate variable. Upon calculating an (n+1)-th intermediate variable, the processor performs weighted sum of a calculation result of an n-th intermediate variable and a transformation result in which the n-th intermediate variable and an (n+1)-th input variable are transformed based on the parameter group, to calculate the (n+1)-th intermediate variable.