%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