Disaster response management (DRM)calls for urgent and correct action. Each disaster is different regarding its conditions, such as those stemming from the location and season of the disaster. The initial and immediate responses are geared towards life preservation. The 2023 earthquake and expected future such disasters make information management a crucial task.
Annotated data is essential for developing automated solutions involving natural language processing. Linguists have joined the efforts in annotating data. Given the increasing size of data that drives recent innovations, tools that support effective annotation is important. Again, due to the size of the data being annotated, it is most likely that multiple annotators work on this task (either simultaneously or at other times). This project will extend an existing tool by providing collaborative features and validation support. Also, UI/UX improvements are desired.
The increasing demand for edge computing and the rise of cloud systems have led to the need for efficient resource management and workload distribution