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Multi-round dialogue processing method, device and equipment

A dialogue processing and multiple group technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as meaningless replies, multiple repetitions, etc.

Active Publication Date: 2019-07-19
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

But in the automatic response scenario, the traditional Seq2Seq generation is easy to generate too many repetitive and meaningless replies

Method used

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  • Multi-round dialogue processing method, device and equipment
  • Multi-round dialogue processing method, device and equipment
  • Multi-round dialogue processing method, device and equipment

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Embodiment Construction

[0076] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. In the case of no conflict, the embodiments and the features in the embodiments of the present invention can be combined arbitrarily with each other. Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0077] In or...

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Abstract

The invention discloses a multi-round dialogue processing method, device and equipment, belongs to the technical field of natural language processing, and is used for improving the accuracy of a multi-round dialogue. In the method, a structured knowledge map is combined with a non-structured text at an encoding stage. Namely, in the encoding stage, the knowledge multivariate group, the conversation history and the background knowledge are combined, the obtained encoding result can cover the relation among the conversation history, the conversation background and entities in the conversation, and therefore the obtained encoding result information is richer, and the encoding result can be more accurate. In this way, a better response can be obtained in the decoding stage according to a moreaccurate coding result.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular to a multi-lun dialogue processing method, device and equipment. Background technique [0002] The model of Seq2Seq (sequence-to-sequence, multi-round dialogue generation system) is a kind of end-to-end (end-to-end) algorithm framework. It is often used in scenarios such as machine translation and automatic response. Seq2Seq is generally implemented through the Encoder-Decoder (encoding-decoding) framework. The Encoder and Decoder parts can process any text, voice, image, and video data. The Encoder-Decoder model can use CNN (Convolutional Neural Networks, convolutional neural network), RNN (Recurrent Neural Network, cyclic neural network), LSTM ( Long Short-Term Memory, long short-term memory network), GRU (gated recurrent neural network, gated recurrent neural network), BLSTM (bidirectional long short-term memory, bidirectional long short-term memory ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/35G06F17/27
CPCG06F16/3329G06F16/35G06F40/289G06F40/30
Inventor 耿瑞莹孟凡东牛成周杰
Owner TENCENT TECH (SHENZHEN) CO LTD
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