Dialogue processing apparatus, learning apparatus, dialogue processing method, learning method and program

Abstract

A dialogue processing apparatus includes one or more computers each including a memory and a processor configured to receive a question Qas a word string representing a current question in an interactive machine reading comprehension task, a question history {Q, . . . , Q} as a set of word strings representing previous questions, and an answer history {A, . . . , A} as a set of word strings representing previous answers to the previous questions, and use a pre-learned first model parameter, to generate an encoded context vector reflecting an attribute or an importance degree of each of the previous questions and the previous answers; and receive a document P to be used to generate an answer Ato the question Qand the encoded context vector, and use a pre-learned second model parameter, to perform matching between the document and the previous questions and previous answers, to generate the answer.