Kaustubh Hiware author Ritam Dutt author Sayan Sinha author Sohan Patro author Kripa Ghosh author Saptarshi Ghosh author 2020-jul text Association for Computational Linguistics Online conference publication 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. hiware-etal-2020-narmada https://www.aclweb.org/anthology/2020.socialnlp-1.3 2020-jul 15 24