Deep learning-based dialogue method, device and equipment

Abstract

The invention discloses a deep learning-based dialogue method, device and equipment, and belongs to the field of artificial intelligence. The method includes the steps of obtaining a to-be-answered statement; encoding the to-be-answered statement to obtain a first vector, wherein the first vector is the representation of the to-be-answered statement; obtaining the dialogue history information corresponding to the to-be-answered statement, wherein the dialogue history information includes at least one round of dialogue statements, and each round of dialogue statements includes two dialogue statements; synthesizing an attention vector by using the first vector and a decoding state vector, wherein the decoding state vector is used for representing the state of a decoder when the most recent word in an answered sentence is output, and the attention vector is used for representing a search intention; enabling each dialogue statement to interact with the attention vector respectively to extract the information related to the search intention in each dialogue statement to obtain multiple result vectors; generating a to-be-decoded vector based on the multiple result vectors; decoding the to-be-decoded vector to obtain a next word in the answered sentence. According to the method, device and equipment, the answered sentence takes a dialogue history as reference.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a dialogue method, device and equipment based on deep learning. Background technique [0002] Natural language dialogue is one of the most challenging problems in artificial intelligence, and now there are many practical dialogue systems, such as Apple Siri. These dialogue systems can have simple dialogues with people and complete some simple tasks, such as asking about the weather and checking stocks. [0003] The dialogue system based on deep learning is the development direction of the current dialogue system. After obtaining the sentence to be replied input by the user, the method for generating the reply sentence includes: encoding the sentence to be replied into a vector; decoding the vector to obtain the reply sentence. [0004] In the process of generating reply sentences, this kind of dialogue system cannot effectively process and utilize the dialogue hist...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the existing technology cannot effectively process and utilize dialogue history information, resulting in the reply sentence output by the dialogue system may not meet the needs of users, the embodiment of the present invention provides a dialogue method, device and equipment based on deep learning

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