NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities

Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripa Ghosh, Saptarshi Ghosh


Abstract
Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario – identifying resource-needs and resource-availabilities in the disaster-affected region, coupled with their subsequent matching. To this end, we present NARMADA, a semi-automated platform which leverages the crowd-sourced information from social media posts for assisting post-disaster relief coordination efforts. The system employs Natural Language Processing and Information Retrieval techniques for identifying resource-needs and resource-availabilities from microblogs, extracting resources from the posts, and also matching the needs to suitable availabilities. The system is thus capable of facilitating the judicious management of resources during post-disaster relief operations.
Anthology ID:
2020.socialnlp-1.3
Volume:
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media
Month:
July
Year:
2020
Address:
Online
Venues:
ACL | SocialNLP | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
15–24
Language:
URL:
https://www.aclweb.org/anthology/2020.socialnlp-1.3
DOI:
10.18653/v1/2020.socialnlp-1.3
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.socialnlp-1.3.pdf
Video:
 http://slideslive.com/38929903