Structural Analysis of Hidden Danger Description Text Based on ERNIE-CRF-ESL

doi:10.13190/j.jbupt.2021-003

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (5): 107-113.doi: 10.13190/j.jbupt.2021-003

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Structural Analysis of Hidden Danger Description Text Based on ERNIE-CRF-ESL

AI Xin-bo¹, GUO Yan-jun², XIE Yun-hao¹, CHEN Cheng¹

1. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. School of Modern Post, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2021-02-03 Online:2021-10-28 Published:2021-09-06

Abstract

Abstract: The safety hazard description text is recorded by natural language description,which has the problem of subjective arbitrariness. The existing sequence annotation-related models cannot extract key knowledge information from the safety hazard description. Based on the characteristics of the safety hazard description text,a sequence annotation method is designed for the safety hazard description text,and the enhanced representation from knowledge integration (ERNIE) model is proposed for word vector feature extraction. Based on the conditional random fields (CRF) module and the information extraction (ESL) module,a structured parsing method of safety hazard description text is constructed. An experiment is carried out on a description text of a hidden safety hazard in a mega-city. The experimental results show that the proposed model achieves a 65.1% precision rate in the text structured parsing task. The proposed algorithm can obtain more knowledge information from the unstructured data of urban safety hazards,and then standardize the safety hazards investigation and recording work.

Key words: safety hazard description text, structural analysis, sequence labeling model

CLC Number:

TP181

AI Xin-bo, GUO Yan-jun, XIE Yun-hao, CHEN Cheng. Structural Analysis of Hidden Danger Description Text Based on ERNIE-CRF-ESL[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(5): 107-113.

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Structural Analysis of Hidden Danger Description Text Based on ERNIE-CRF-ESL

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