Question-answer text matching method and device based on artificial intelligence, medium and electronic equipment

A technology of artificial intelligence and text, applied in neural learning methods, electrical digital data processing, instruments, etc., can solve the problem of low accuracy

Pending Publication Date: 2020-06-09
TAIKANG LIFE INSURANCE CO LTD +1
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  • Abstract
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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide an artificial intelligence-based question-answer text matching method...

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  • Question-answer text matching method and device based on artificial intelligence, medium and electronic equipment
  • Question-answer text matching method and device based on artificial intelligence, medium and electronic equipment
  • Question-answer text matching method and device based on artificial intelligence, medium and electronic equipment

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Embodiment Construction

[0047] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and fully convey the concept of example embodiments to those skilled in the art.

[0048] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the invention. However, those skilled in the art will appreciate that the technical solutions of the present invention may be practiced without one or more of the specific details, or other methods, components, means, steps, etc. may be employed. In other instances, well-known methods, apparatus, implem...

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Abstract

The invention provides a question-answer text matching method based on artificial intelligence. The question-answer text matching method comprises the following steps: determining semantic similaritybetween a word vector sequence of a question text of a current user and a word vector sequence of each candidate question text in a candidate question text set through a deep learning model; determining the text similarity between the question text of the current user and each candidate question text in the candidate question text set through a preset formula; determining the comprehensive similarity between the question text of the current user and each candidate question text in the candidate question text set according to the semantic similarity and the text similarity; and according to thecomprehensive similarity between the question text of the current user and each candidate question text in the candidate question text set, determining a candidate answer text matched with the question text of the current user. In this way, the candidate answer text sent to the user is more accurate.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular to an artificial intelligence-based question-and-answer text matching method, device, medium, and electronic equipment. Background technique [0002] The Q&A text sorting technology in the traditional Q&A system returns the correct answer by calculating the text similarity of the keywords in the question. However, in many cases, when the keywords in the question are relatively few, but the semantics are consistent, this approach has defects. With the development of deep learning technology, it has been widely used in natural language processing. Word vector representation of text and selection of an appropriate deep learning model to model text have become common semantic understanding practices. In the process of question semantic matching, the shallow semantic information and contextual local feature information of the question text are extracted, and ...

Claims

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Application Information

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IPC IPC(8): G06F40/194G06F40/284G06F40/30G06F40/247G06N3/08
CPCG06N3/08
Inventor 李渊刘设伟
Owner TAIKANG LIFE INSURANCE CO LTD
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