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Intelligent detection method for semantic mutual exclusion of multi-source management terms

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

Active Publication Date: 2020-08-14
HUAQIAO UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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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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  • Intelligent detection method for semantic mutual exclusion of multi-source management terms
  • Intelligent detection method for semantic mutual exclusion of multi-source management terms
  • Intelligent detection method for semantic mutual exclusion of multi-source management terms

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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 texts of each management clause, sort out the clause text pairs of the upper and lower levels, split and match the text pairs according to each item, and obtain a set of NS policy item text pairs S={S (i)} is the training corpus, and each text pair is marked 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, requiring NS≥10000;

[0066] Step S2: For NS policy item text pairs, modify the corresponding content to construct NS pairs containing contradictions, label the text pairs containing contradictions as 1, and label the 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, perform text preprocessing on ...

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Abstract

The invention discloses an intelligent detection method for semantic mutual exclusion of multi-source management terms. The method comprises the following steps of: firstly, acquiring text data of each related management term for model training, preprocessing each term text, combining statistical characteristics, vocabulary semantic characteristics and contradiction rule recognition characteristics to construct a text semantic conflict detection model based on sememe, and applying the model for intelligent detection of semantic mutual exclusion of management terms. According to the method, thetext conflict detection model is constructed by adopting an automatic classification algorithm, and application of the method to an actual scene effectively realizes the purpose of automatically detecting and judging the conflict of text pairs by a computer, and a new method is provided for preventing the text semantic conflict of multi-source management terms.

Description

technical field [0001] The invention relates to the field of semantic intelligent detection, in particular to an intelligent detection method for semantic mutual exclusion of multi-source management clauses. Background technique [0002] The management clause document is a specific action guideline formulated by the management department to complete the tasks of a certain historical period. In order to ensure the realization of the goals, the management department first sorts out the goals, and then distributes contracts step by step down to the grassroots departments facing the targets. However, due to reasons such as information asymmetry and power-responsibility imbalance, in the process of subcontracting downwards, it is very likely that there will be conflicts in the control of the upper and lower levels, hindering the implementation of actual tasks. Mutual exclusion detection of the regulations promulgated by the upper and lower levels can detect conflicts in time, wh...

Claims

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Application Information

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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