Social Media Crowdsourcing for Earthquake Damage Assessment
Author:
Affiliation:
1. School of Information, Univ. of Michigan, Ann Arbor, MI.
2. Dept. of Civil and Environmental Engineering, A. James Clark School of Engineering, Univ. of Maryland, College Park, MD.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784484975.018
Reference28 articles.
1. Estimating the Locations of Emergency Events from Twitter Streams;Ao J.;Procedia Comput. Sci.,2014
2. Understanding the Political Representativeness of Twitter Users
3. Enriching Word Vectors with Subword Information
4. FEMA. 2021. “Damage Assessment for Public Works.” Accessed September 23 2021. https://emilms.fema.gov/is556/lesson1/CoursePrintable.htm.
5. Finkel J. R. T. Grenager and C. Manning. 2005. “Incorporating non-local information into information extraction systems by Gibbs sampling.” Proc. 43rd Annu. Meet. Assoc. Comput. Linguist. - ACL 05 363–370. Ann Arbor Michigan: Association for Computational Linguistics.
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