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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Unsupervised Detection of Sub-Events in Large Scale Disasters

February 1, 2023

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Authors

Chidubem Arachie

Virginia Tech


Manas Gaur

University of South Carolina, Columbia


Sam Anzaroot

Dataminr Inc.


William Groves

Dataminr Inc.


Ke Zhang

Dataminr Inc.


Alejandro Jaimes

Dataminr Inc.


DOI:

10.1609/aaai.v34i01.5370


Abstract:

Social media plays a major role during and after major natural disasters (e.g., hurricanes, large-scale fires, etc.), as people “on the ground” post useful information on what is actually happening. Given the large amounts of posts, a major challenge is identifying the information that is useful and actionable. Emergency responders are largely interested in finding out what events are taking place so they can properly plan and deploy resources. In this paper we address the problem of automatically identifying important sub-events (within a large-scale emergency “event”, such as a hurricane). In particular, we present a novel, unsupervised learning framework to detect sub-events in Tweets for retrospective crisis analysis. We first extract noun-verb pairs and phrases from raw tweets as sub-event candidates. Then, we learn a semantic embedding of extracted noun-verb pairs and phrases, and rank them against a crisis-specific ontology. We filter out noisy and irrelevant information then cluster the noun-verb pairs and phrases so that the top-ranked ones describe the most important sub-events. Through quantitative experiments on two large crisis data sets (Hurricane Harvey and the 2015 Nepal Earthquake), we demonstrate the effectiveness of our approach over the state-of-the-art. Our qualitative evaluation shows better performance compared to our baseline.

Topics: AAAI

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HOW TO CITE:

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes Unsupervised Detection of Sub-Events in Large Scale Disasters Proceedings of the AAAI Conference on Artificial Intelligence (2020) 354-361.

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes Unsupervised Detection of Sub-Events in Large Scale Disasters AAAI 2020, 354-361.

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes (2020). Unsupervised Detection of Sub-Events in Large Scale Disasters. Proceedings of the AAAI Conference on Artificial Intelligence, 354-361.

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes. Unsupervised Detection of Sub-Events in Large Scale Disasters. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.354-361.

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes. 2020. Unsupervised Detection of Sub-Events in Large Scale Disasters. "Proceedings of the AAAI Conference on Artificial Intelligence". 354-361.

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes. (2020) "Unsupervised Detection of Sub-Events in Large Scale Disasters", Proceedings of the AAAI Conference on Artificial Intelligence, p.354-361

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes, "Unsupervised Detection of Sub-Events in Large Scale Disasters", AAAI, p.354-361, 2020.

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes. "Unsupervised Detection of Sub-Events in Large Scale Disasters". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.354-361.

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes. "Unsupervised Detection of Sub-Events in Large Scale Disasters". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 354-361.

Chidubem Arachie||Manas Gaur||Sam Anzaroot||William Groves||Ke Zhang||Alejandro Jaimes. Unsupervised Detection of Sub-Events in Large Scale Disasters. AAAI[Internet]. 2020[cited 2023]; 354-361.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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