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An Intelligent Detection Method of Semantic Mutual Exclusion of Multi-source Management Clauses

A technology of intelligent detection and terms, applied in semantic analysis, electronic digital data processing, special data processing applications, etc., can solve problems such as conflicts between superiors and subordinates, obstacles to the implementation of actual tasks, and imbalance of rights and responsibilities

Active Publication Date: 2022-07-01
HUAQIAO UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to reasons such as information asymmetry and power-responsibility imbalance, in the process of subcontracting downwards, it is very likely that superior-subordinate control conflicts will occur, hindering the implementation of actual tasks

Method used

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  • An Intelligent Detection Method of Semantic Mutual Exclusion of Multi-source Management Clauses
  • An Intelligent Detection Method of Semantic Mutual Exclusion of Multi-source Management Clauses
  • An Intelligent Detection Method of Semantic Mutual Exclusion of Multi-source Management Clauses

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Embodiment Construction

[0063] The present invention will be further described below through specific embodiments.

[0064] Model training phase

[0065] Step S1: Obtain the dependent resources in the model training phase, that is, obtain the text of each management clause, sort out the clause text pairs of the upper and lower levels, split and match the text pairs respectively, and obtain a set of NS policy item text pairs S={S (i)} is the training corpus, each text pair is denoted as S(i), where the upper-level policy item is T(i), and the lower-level policy item is H(i), where 1≤i≤NS, and NS≥10000;

[0066] Step S2: For NS policy item text pairs, modify the corresponding content to construct NS pairs of text pairs with contradictions, label the labels of text pairs with contradictions as 1, and label the labels of text pairs without contradictions as 0, a total of 2NS Text pairs are used as training corpus;

[0067] Step S3: In order to facilitate feature extraction, text preprocessing is perfor...

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Abstract

The invention discloses an intelligent detection method of semantic mutual exclusion of multi-source management clauses, preferably by acquiring the text data of each relevant management clause for model training, preprocessing the text of each clause, combining statistical features and vocabulary Semantic features and conflict rule identification features, a sememe-based text semantic conflict detection model is constructed, and the model can be used for intelligent detection of semantic mutual exclusion of management clauses; the invention adopts an automatic classification algorithm to construct a text conflict detection model, and uses In practical scenarios, it effectively realizes the purpose of automatically detecting and judging text pairs by computer, and provides a new method for preventing text semantic conflicts of multi-source management clauses.

Description

technical field [0001] The invention relates to the field of semantic intelligence detection, in particular to an intelligent detection method for semantic mutual exclusion of multi-source management terms. Background technique [0002] The management terms document is the specific action code formulated by the management department to complete the task of a certain historical period. In order to ensure the realization of the goal, the management department first sorts out the goal, and then issues the contract down to the target-oriented grass-roots department. However, due to information asymmetry, power and responsibility imbalance and other reasons, in the process of outsourcing, it is very likely that there will be conflicts between superiors and subordinates, which hinders the implementation of actual tasks. The mutual exclusion detection of the regulations issued by the superior and the subordinate can detect conflicts in time, which is conducive to strengthening the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/30G06F40/247G06F40/216G06F40/289G06F40/126G06F16/35
CPCG06F40/30G06F40/247G06F40/216G06F40/289G06F40/126G06F16/355
Inventor 元雨暄林欣郁贺惠新
Owner HUAQIAO UNIVERSITY