Question classification method in computer question and answer system

Abstract

The invention discloses a question classification method in a computer question and answer system, which is used for classifying and predicting questions of a user based on context data of the user. The method mainly comprises the following steps: 1, constructing context environment information influencing user intention according to an intelligent question and answer system application field; 2, obtaining the situation information data of the user by means of user portrait construction, log analysis and sensor reading; thirdly3, designing a problem intention prediction network based on an attention mechanism is designed, embedding the situation information is embedded into a problem, forming the problem distributed representation considering the situation is formed, and substituting the problem is substituted into the model for prediction; and 4, performing the model training and prediction. The method solves the problems that the user intention identification only depends on the problem of natural language dialogue, the problem of incomplete expression of the user is possible, and the expression meanings of the questions under different backgrounds are different, and the intention identification accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of natural language intelligent question answering, in particular to a method for classifying question sentences in a computer question answering system. Background technique [0002] Chatbots, voice assistants, and automatic customer service have brought great convenience to people's lives, and at the same time saved labor costs in some industries. They are currently hot research topics in natural language processing. The success of these applications depends not only on the recognition of speech content, but also on the understanding of the meaning of sentences, which is called intent recognition. Intent recognition aims to determine the intent of user conversations, which can be viewed as a classification problem. Define various possible intentions in this field in advance, and then use the classification method to classify questions into certain types of intentions and hand them over to the dialogue man...

AI Technical Summary

Problems solved by technology

[0004] Therefore, there are some flaws in the user intent recognition of questions that only rely on natural language dialogue. On the one hand, the user's question may be expressed incompletely; on the other hand, in different contexts, the same question may express different meanings. It is often necessary to combine contextual information to assist classification, including context, user personalization characteristics, user's geographical location, climate season, etc.

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