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Multi-round dialogue intention recognition method

A recognition method and intent technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems that robots cannot answer, poor generalization ability, etc., achieve low cost, high accuracy, and overcome labeling costs high effect

Active Publication Date: 2019-10-11
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0006] Comparing the three methods, the disadvantage of the first solution is that it requires a lot of manual work to sort out the user corpus, form a user question template, and then configure the customer service robot
For those questions that are not organized and configured, the robot cannot answer, and the generalization ability is very poor

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Embodiment Construction

[0050] The algorithm implementation method of the present invention will be described below in conjunction with the accompanying drawings and embodiments.

[0051] A multi-round dialogue intent recognition method, comprising the steps of:

[0052] Step 1: Determine the dialogue intent to be recognized according to the application scenario, obtain a large amount of dialogue data, manually find out the dialogue blocks in the dialogue data and their corresponding intentions, and perform corpus annotation;

[0053]People usually use several consecutive sentences to express the same intention, which we call dialogue blocks. Before corpus annotation, first determine the intent name that the robot wants to recognize according to the application scenario of the customer service robot. Then, take a complete dialogue data, manually find out the dialogue blocks in the dialogue and their corresponding intentions, and mark them. Finally, we store the marked dialogue data on the disk. The...

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Abstract

The invention discloses a multi-round dialogue intention identification method, which comprises the following steps of: 1) determining a dialogue intention to be identified according to an applicationscene, obtaining a large amount of dialogue data, manually finding out dialogue blocks in the dialogue data and intentions corresponding to the dialogue blocks, and carrying out corpus annotation; 2)removing stop words in the dialogue data according to a manually arranged stop word table; 3) constructing a sentence vector model for intention recognition, namely BiLSTM- A CRF model and a StarSpace model are established; and 4) obtaining dialogue data in real time through the sentence vector model, the BiLSTM-CRF model and the StarSpace. The method has the beneficial effects that intention recognition is efficient, the accuracy is high, the generalization ability is high, and the manual corpus annotation cost is low.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a multi-round dialogue intent recognition method. Background technique [0002] Now that humans have entered the era of artificial intelligence, many companies are developing their own customer service robots. This is not only convenient for users to consult questions 24 hours a day, but also reduces the cost of hiring customer service personnel for enterprises. However, most customer service robots are not very intelligent and cannot meet the actual needs of users. For example, at present, there are three main types of dialogue intent recognition methods for customer service robots : [0003] The first approach takes rule templates. That is, by collecting a large amount of user corpus, the templates of user consultation questions are manually sorted out, and then the robot answers user questions based on the template matching results. This method has a hig...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/279G06F40/30Y02D10/00
Inventor 曹斌叶铱雷范菁
Owner ZHEJIANG UNIV OF TECH
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