Question and answer processing method and device, computer equipment and readable storage medium

Abstract

The invention relates to a question and answer processing method and device, computer equipment and a readable storage medium, and the method comprises the steps: obtaining a to-be-answered question, and determining a similar question similar to the to-be-answered question from a question and answer database; converting the similar problem into a similar problem vector; based on any two or more of a literal similarity score, a semantic similarity score, a sentence editing distance score, a sentence length score, a knowledge base similarity score, a hash similarity score, a word vector similarity score, a keyword score, a keyword editing distance score and an entity word editing distance score and a similar problem vector, determining a target question matched with the to-be-answered question from the similar questions; and determining a target answer corresponding to the target question from the question and answer database.

Description

technical field [0001] The present application relates to the technical field of photovoltaic cells, and in particular, relates to a question-and-answer processing method, device, computer equipment, and readable storage medium. Background technique [0002] With the development of human-computer interaction technology, human-computer interaction devices are gradually widely used in the field of catering. The intelligent question answering system is one of the core technologies of human-computer interaction. Through the intelligent question answering system, the human-computer interaction device can find the answer matching the user's question in the question answering database and answer it intelligently, saving labor costs and improving the service efficiency of the restaurant. [0003] However, the general framework of the traditional intelligent question answering system is to recall according to the literal similarity and semantic similarity, and then sort the results o...

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Problems solved by technology

[0003] However, the general framework of the traditional intelligent question answering system is to recall according to the literal similarity and semantic similarity, and then sort the results of the literal similarity recall and semantic similarity recall. The sorting method usually uses a linear method to calculate the sorting result through weight distribution. The sorting result depends on the literal similarity and semantic similarity. Once the literal similarity or semantic similarity is wrong, the sorting result will be wrong. As a result, the matching correlation between the answer and the user's question is low

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