Rewriting of Design Code With Controlled Natural Language to Assist Information Extraction

Bing, Wu and Fulin, Li and Ruoxin, Xiong and Yuanbin, Song (2019) Rewriting of Design Code With Controlled Natural Language to Assist Information Extraction. In: 8th International Conference on Advances in Civil, Structural and Environmental Engineering - ACSEE, 12 -13 January 2019, Kuala Lumpur, Malaysia.

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Regulatory compliance checking is crucial for power grid designs with respect to their safe operation.Traditional design checking depends greatly on the knowledge and experiences of human expert, and accordingly the manual checking is often tedious, time consuming and error prone.Recently, the application of Natural Language Processing (NLP) approach to extract information from design codes written in English leads to promising results. Unfortunately, the robustness of NLP-based information extraction approach should be furthered in order to analyze the textual codes written in Chinese. In this regard, GIM-CNL is developed as a controlled language for rewriting Chinese design code for power grid infrastructures. This study explores the difficulties in understanding design code written in Chinese. The framework of the GIM-CNL and the associated ontology of power grid engineering is also developed. Finally, an example of information extraction from the design codes is studied to demonstrate the application of the proposed tool.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Natural language processing, Controlled natural language, design code, information extraction, and ontology
Depositing User: Mr. John Steve
Date Deposited: 06 Mar 2019 07:34
Last Modified: 06 Mar 2019 09:16

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