Generative multi-round chat dialogue method and system and computer-readable storage medium

A generative and mechanism-based technology, applied in computing, biological neural network models, instruments, etc., can solve problems such as ignoring the impact of dialogue history and meaningless replies in multi-round dialogue chat systems

Active Publication Date: 2018-10-19
SHANDONG UNIV
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AI Technical Summary

Problems solved by technology

One problem faced by single-turn dialogue systems is that the model ignores the influence of dialogue history on the current reply
[0005] Although a lot of research work has improved the perfor

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  • Generative multi-round chat dialogue method and system and computer-readable storage medium
  • Generative multi-round chat dialogue method and system and computer-readable storage medium
  • Generative multi-round chat dialogue method and system and computer-readable storage medium

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Embodiment Construction

[0091] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0092] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0093] Dialogue systems: Dialogue systems refer to machine systems built by humans that can interact with humans...

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Abstract

The invention discloses a generative multi-round chat dialogue method and system and a computer-readable storage medium. The method is divided into two stages: a stage 1, training a multi-round chat dialogue model by using dialogues of a corpus; and a stage 2, inputting a question to be answered, posed by a user, into the trained multi-round chat dialogue model, and outputting an actual answer. Bymining keywords in historical dialogues and introducing an attention mechanism into the model, all words in the historical dialogues are treated differently, which expands the role of the keywords inthe historical dialogues in generating answers. A width channel is used to predict keywords and broaden topics, a depth channel is used to predict the weights of the keywords in the historical dialogues so as to penetrate into the current topic, and the topic information obtained from the two parts is introduced into a decoder to assist in decoding. The guidance of the topic information effectively solves the problem of meaningless answers, and greatly reduces the number of meaningless answer.

Description

technical field [0001] The invention relates to a generative multi-round chat dialogue method, system and computer-readable storage medium. Background technique [0002] Dialogue systems, also known as intelligent dialogue bodies or chat robots, have been widely used in various life scenarios, including customer service, entertainment chat, emotional escort, knowledge sharing, etc. [0003] In terms of usage, dialogue systems can be roughly divided into chatting dialogue systems and task-oriented dialogue systems. Technically, dialogue systems can be divided into rule-based, retrieval-based, and generation-based dialogue systems. Among them, the rule-based dialogue system requires a lot of human resources to design rules, and the retrieval-based dialogue system relies heavily on the quality of the corpus and size, and rule-based or retrieval-based dialogue systems severely limit the diversity of generated responses. The generation-based dialogue system can generate more fl...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N3/04
CPCG06N3/044
Inventor 王文杰聂礼强黄民烈宋雪萌王英龙
Owner SHANDONG UNIV
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