A kind of intelligent question answering method and device

Abstract

The invention relates to an intelligent question and answer method and device. The method includes: receiving user input information; acquiring the highest semantic similarity between the user input information and all the questions in a question and answer knowledge base, and obtaining a corresponding initial answer when the highest semantic similarity is greater than a preset similarity threshold; performing abstract semantic recommendation processing on the user input information according to an abstract semantic database when the initial answer includes a plurality of clauses, and the plurality of clauses at least correspond to more than two pieces of first pragmatic information, and then obtaining an abstract semantic expression corresponding to the user input information and the type of an abstract semantic, wherein the abstract semantic database includes a plurality of types of abstract semantics, and each type of abstract semantic has a corresponding second pragmatic information; and extracting a clause of the first pragmatic information corresponding to the second pragmatic information from the initial answer as a final result. The method can improve the accuracy rate of reply answers of the intelligent question and answer system, and improve the user experience.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an intelligent question answering method and device. Background technique [0002] Knowledge base, also known as intelligent database or artificial intelligence database, in knowledge base, information is effectively organized for retrieval and utilization. Knowledge bases are widely used in the field of artificial intelligence, and one of the typical applications is intelligent question answering system, also known as automatic question system. [0003] Multiple knowledge points are stored in the knowledge base applied to the intelligent question answering system, and each knowledge point includes one or more preset questions and corresponding answer information. When the user asks a question by inputting request information, the semantic similarity between the request information and the preset question is obtained, and if there is a preset question whose semantic simi...

AI Technical Summary

Problems solved by technology

[0004] However, in question answering systems in many fields, the answers obtained through similarity calculations are very complicated, including some answers that are actually irrelevant to user questions, so the answers are not accurate and concise.

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