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Semantic matching method and device of question and answer text, medium and electronic equipment

A technology of semantic matching and semantic matching degree, which is applied in the field of natural language processing and can solve the problem of low accuracy of semantic matching

Active Publication Date: 2018-11-20
TAIKANG LIFE INSURANCE CO LTD +1
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a semantic matching method, device, medium, and electronic equipment for question-and-answer texts, so as to overcome the problem of low accuracy of semantic matching for question-and-answer texts at least to a certain extent

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  • Semantic matching method and device of question and answer text, medium and electronic equipment
  • Semantic matching method and device of question and answer text, medium and electronic equipment

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Embodiment Construction

[0028] 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.

[0029] 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 present disclosure provides a semantic matching method and device of a question and answer text, which includes the steps of obtaining a feature vector sequence with contextual local features of aquestion text and a feature vector sequence with contextual local features of a candidate answer text by using a loop neural network; based on an attention weight of each feature vector in a featurevector sequence having contextual local features of the question text and the candidate answer text and a feature vector sequence having contextual local features of the question text and the candidate answer, generating a feature vector sequence with contextual local features and global features of the problem text and a feature vector sequence with contextual local features and global features of the candidate answer text; and according to the feature vector sequence with local and global contextual features of the question text and the feature vector sequence with local and global contextual features of the candidate answer text, determining the semantic matching degree between the question text and the candidate answer.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular to a semantic matching method, device, medium and electronic equipment for question and answer text. Background technique [0002] At present, the method of semantic matching of Q&A text based on deep learning may include the following steps: a word embedding model trained based on neural network is used to represent the text as a word vector, which has stronger semantic representation ability. Model text by constructing long-short-term memory network LSTM (Long Short-Term Memory) or gated recurrent unit GRU (Gated Recurrent Unit) and other deep learning models. Although these methods are less dependent on feature selection and extract shallow semantic information and contextual local features to a certain extent, they cannot represent a large number of key global features, thus reducing the accuracy of semantic matching of Q&A texts. [0003] It should ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F40/30
Inventor 李渊刘设伟
Owner TAIKANG LIFE INSURANCE CO LTD
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