Building a Terminological Resource for Crisis Management: The Case of Floods and Protests

Irina Temnikova, Andrea Varga, Dogan Biyikli

Abstract:

Extracting information from social media is being currently exploited for a variety of tasks, including the recognition of emergency
events in Twitter. This is done in order to supply Crisis Management agencies with additional crisis information. The existing
approaches, however, mostly rely on geographic location and hashtags/keywords, obtained via a manual Twitter search. As we expect
that Twitter crisis terminology would differ from existing crisis glossaries, we start collecting a specialized terminological resource to
support this task. The aim of this resource is to contain sets of crisis-related Twitter terms which are the same for different instances of
the same type of event. This article presents a preliminary investigation of the nature of terms used in four events of two crisis types,
tests manual and automatic ways to collect these terms and comes up with an initial collection of terms for these two types of events. As
contributions, a novel annotation schema is presented, along with important insights into the differences in annotations between different specialists, descriptive term statistics, and performance results of existing automatic terminology recognition approaches for this task.