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Paper ID: 1246 - ISARC 2026 by Peihang Luo

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Paper ID: 1246 - ISARC 2026 by Peihang Luo

10 просмотров · 11 дней назад
IAARC
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10 просмотров · 11 дней назад
Title: Reducing Schema Dependency in Natural Language Interfaces for Infrastructure Digital Twins through Automated Reader and Parser Generation Authors: Peihang Luo, Linjun Lu, Ya Wen, Erika Parn, Lavindra de Silva, Borja García de Soto, Ioannis Brilakis Abstract: Natural language interfaces (NLIs) have been explored as a way to lower the entry barrier to interacting with infrastructure digital twins (DTs) by reducing the need for extensive prior training. However, most existing NLIs rely on manually configured parsing logic based on fixed and predefined data schemas, making them difficult ... Keywords: Natural Language Interface (NLI), Natural Language Processing (NLP), Large Language Model (LLM), Digital Twin (DT), Human-Computer Interaction (HCI), Operations and Maintenance (O&M), Infrastructure Management DOI: https://doi.org/10.22260/ISARC2026/0124