ATPT: Automate Typhoon Contingency Plan Generation from Text

Zeng, Yifeng, Yao, Zhangrui, Pan, Yinghu, Chen, Wanqing, Zhou, Junxin, Chen, Junhan, Ma, Biyang and Ming, Zhong (2021) ATPT: Automate Typhoon Contingency Plan Generation from Text. In: AAMAS '21: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems. Proceedings of AAMAS . International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1788-1790. ISBN 9781450383073

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Official URL: https://doi.org/10.5555/3463952.3464238

Abstract

Artificial intelligence (AI) planning models play an important role in decision support systems for disaster management e.g. typhoon contingency plan development. However, constructing an AI planning model always requires significant amount of manual effort, which becomes a bottleneck to emergency response in a time-critical situation. In this demonstration, we present a framework of automating a domain model of planning domain definition language from natural language input through deep learning techniques. We implement this framework in a typhoon response system and demonstrate automatic generation of typhoon contingency plan from official typhoon plan documents.

Item Type: Book Section
Uncontrolled Keywords: Planning Domain Definition Language, Natural Language Process, Typhoon Contingency Plan
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
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Depositing User: John Coen
Date Deposited: 07 Jul 2021 09:02
Last Modified: 07 Jul 2021 09:15
URI: http://nrl.northumbria.ac.uk/id/eprint/46620

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