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Question pair matching method and device based on deep feature fusion neural network

A deep feature and neural network technology, applied in special data processing applications, instruments, unstructured text data retrieval, etc., can solve problems such as inability to accurately judge the matching degree between user questions and standard questions

Active Publication Date: 2019-07-19
QILU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this technical solution cannot accurately judge the matching degree of user questions and standard questions, map user questions to standard questions, and sort out a complete set of question pair matching models

Method used

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  • Question pair matching method and device based on deep feature fusion neural network
  • Question pair matching method and device based on deep feature fusion neural network
  • Question pair matching method and device based on deep feature fusion neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0105] as attached figure 1 As shown, the problem pair matching method based on deep feature fusion neural network of the present invention, the method comprises the following steps:

[0106] S1. Building a question-pair knowledge base: Crawling question-pairs from the Internet question-and-answer community, and preprocessing the question-pairs, and preliminarily constructing a question-pair knowledge base; as attached figure 2 As shown, the specific steps of constructing the problem-pair knowledge base are as follows:

[0107] S101. Use crawler technology to crawl question pairs from the Internet question-and-answer community. The question-and-answer communities use the Web form to display, use the Scrapy tool to obtain a set of questions with similar semantics, and build a question-pair knowledge base; in addition to crawling data by yourself, you can also Use publicly available question pair datasets as knowledge bases, such as the LCQMC dataset. This data set is from th...

Embodiment 2

[0186] as attached Figure 7 As shown, the problem pair matching device based on deep feature fusion neural network of the present invention, the device includes,

[0187] The question pair knowledge base construction unit is used to use crawler technology to crawl question pairs from the question-and-answer community on the Internet and preprocess the question pair knowledge base. to the knowledge base; among them, the question-to-knowledge building unit includes,

[0188] The crawler unit is used to crawl the content in the question-and-answer community from the Internet, and save the results in the form of question pairs;

[0189] The crawler data processing unit is used to combine the question pairs acquired by the crawler to construct positive and negative examples, and perform hyphenation processing on the sentences of the question pairs to build a question pair knowledge base;

[0190] The problem pair matching model training data set generation unit is used to constr...

Embodiment 3

[0205] Based on the storage medium of Embodiment 1, a plurality of instructions are stored therein, and the instructions are loaded by a processor to execute the steps of the question pair matching method in Embodiment 1.

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Abstract

The invention discloses a question pair matching method and device based on a deep feature fusion neural network, belongs to the field of natural language processing, and aims to solve the technical problem of how to accurately judge the matching degree of a user question and a standard question and sort out a complete question pair matching model. The technical scheme is that the method comprisesthe following steps: S1, constructing a question pair knowledge base; S2, constructing a question pair matching model training data set; S3, constructing a question pair matching model, comprising the following steps: S301, constructing a character mapping conversion table; S302, constructing an input layer; S303, constructing a character vector mapping layer; S304, constructing a neural networkcoding layer based on depth feature fusion; S305, constructing a text similarity matching layer; and S4, training the question pair matching model and selecting a standard problem. The device comprises a question pair knowledge base construction unit, a question pair matching model training data set generation unit, a question pair matching model construction unit and a question pair matching model training unit.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a question pair matching method and device based on a deep feature fusion neural network. Background technique [0002] With the development of the information age, people are accustomed to using the Internet to solve various problems encountered in life. For example, in the online medical question-and-answer community, patients can consult doctors about their illnesses online, and doctors will also answer patients' questions online. Similar online question-and-answer communities, as well as Baidu Zhizhi, etc., these question-and-answer communities provide users with great convenience. With the increase of the number of users who ask questions online, various new questions are constantly raised, but the number of experts who can answer the questions is relatively small, and the speed of answering questions is difficult to improve. This has caused a relativel...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/33G06F16/36
CPCG06F16/3329G06F16/3344G06F16/36
Inventor 鹿文鹏张旭禹继国
Owner QILU UNIV OF TECH
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