@inproceedings{hiware-etal-2020-narmada,
title = "{NARMADA}: Need and Available Resource Managing Assistant for Disasters and Adversities",
author = "Hiware, Kaustubh and
Dutt, Ritam and
Sinha, Sayan and
Patro, Sohan and
Ghosh, Kripa and
Ghosh, Saptarshi",
editor = "Ku, Lun-Wei and
Li, Cheng-Te",
booktitle = "Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.socialnlp-1.3",
doi = "10.18653/v1/2020.socialnlp-1.3",
pages = "15--24",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities
%A Hiware, Kaustubh
%A Dutt, Ritam
%A Sinha, Sayan
%A Patro, Sohan
%A Ghosh, Kripa
%A Ghosh, Saptarshi
%Y Ku, Lun-Wei
%Y Li, Cheng-Te
%S Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F hiware-etal-2020-narmada
%X 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.
%R 10.18653/v1/2020.socialnlp-1.3
%U https://aclanthology.org/2020.socialnlp-1.3
%U https://doi.org/10.18653/v1/2020.socialnlp-1.3
%P 15-24
Markdown (Informal)
[NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities](https://aclanthology.org/2020.socialnlp-1.3) (Hiware et al., SocialNLP 2020)
ACL