NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
eLog analysis for accelerators: status and future outlook
JointRank: Rank Large Set with Single Pass
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management
From Chaos to Automation: Enabling the Use of Unstructured Data for Robotic Process Automation
Temporal Information Retrieval via Time-Specifier Model Merging
토론
이 논문과 연결된 포럼 글이 아직 없습니다.