A Smart Address Parsing Method Based on Adversarial Error Correction of Word Segmentation Engine

By constructing an adversarial error correction intelligent address parsing method based on a word segmentation engine, and utilizing adversarial training error correction technology, the method autonomously learns the contextual features and glyph semantic mapping of address elements, thus solving the parsing problem of multi-source heterogeneous address data and achieving high-precision and low-maintenance address parsing.

CN121168443BActive Publication Date: 2026-05-26SHANGHAI AOTENG COMPUTER TECHNOLOGY CO LTD
2 Cites 0 Cited by

Patent Information

Application Number
CN202511325097.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-09-17
Publication Date
2026-05-26
Estimated Expiration
2045-09-17

AI Technical Summary

Technical Problem

Existing technologies in logistics, government administration, and map navigation suffer from insufficient parsing accuracy, high maintenance costs, difficulty in adapting to the unified parsing requirements of multi-source heterogeneous address data, and limited ability to capture long-distance hierarchical dependencies and complex error patterns of address elements.

Method used

By constructing an adversarial error correction intelligent address parsing method based on a word segmentation engine, adversarial interference samples are generated using multi-source heterogeneous address data. Combining a real-time input layer, feature engineering layer, convolutional layer, LSTM core modeling layer, fully connected layer, and evaluation iteration layer, the method autonomously learns the contextual feature linkage mechanism and glyph semantic mapping relationship of address elements, performs error correction training, and finally outputs structured address parsing results.

Benefits of technology

It significantly improves the robustness and accuracy of address resolution, reduces reliance on manual rule bases, lowers the maintenance cost of dynamic address changes, adapts to the unified resolution needs of multi-source heterogeneous address data, and meets the accuracy requirements of scenarios such as logistics distribution, government administration, and map navigation.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

This invention relates to an intelligent address parsing method based on adversarial error correction using a word segmentation engine, belonging to the fields of natural language processing and geographic information science and technology. The method includes: collecting multi-source heterogeneous address data, standardizing the format to obtain standardized addresses, constructing an address corpus, storing it in a structured database, and simultaneously establishing an incremental update mechanism to ensure the timeliness of the corpus; generating adversarial interference samples based on the corpus, constructing an intelligent address parsing model, generating a noisy training set in real-time at the input layer, outputting a fused feature vector at the feature engineering layer, capturing local and global features at the convolutional and LSTM layers respectively, and performing a second verification at the output layer using pre-trained language methods for initial error correction and adversarial training error correction, outputting a structured result with confidence and error correction records; and batch verifying and labeling errors in the parsing results. This method achieves accurate handling of the diversity and non-standardization of Chinese addresses, reduces reliance on manual intervention, and improves parsing robustness, accuracy, and scenario adaptability.
Need to check novelty before this filing date? Find Prior Art