Patent ID: 11861307
Assignee: NATIONAL INSTITUTE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system comprising:
one or more computer processors configured to:
morphologically analyze an input request and convert it to a morpheme sequence;
convert each word in the morpheme sequence to a word vector and thereby convert the morpheme sequence to an input word vector sequence;
output a classification code indicating one of a predetermined plurality of request classes to which the input request belongs;
receive the input word vector sequence and the classification code as inputs; and
convert, using a request paraphrasing model trained in advance, the input request represented by the input word vector sequence and the classification code indicating a class to which the input request belongs to an output word sequence, wherein:
the output word sequence corresponds to a request having a higher probability of getting a right response from a prescribed dialogue system than the input word vector sequence;
the output word sequence that is output from the request paraphrasing model is applied to the prescribed dialogue system as a request;
the classification code is output by using a classification model trained in advance using a plurality of training data items each including a first request, and a classification code indicating the class to which the first request belongs, the classification model being implemented by a convolutional neural network including multiple sets of layers, each set of layers comprising:
an input layer including multiple instances of a word vector sequence that are collectively represented as a matrix “T”, wherein a number “M” feature maps are applied to the matrix T;
a convolutional layer; and
a pooling layer, wherein an element of each feature map is computed by applying a filter represented by fj (1≤j≤M) to an “N”-gram comprised of consecutive “N” word vectors and “N” is an arbitrary natural number.