Detecting hot social events (eg, political scandal, momentous meetings, natural hazards,
etc.) from social messages is crucial as it highlights significant happenings to help people …

Social events provide valuable insights into group social behaviors and public concerns and
therefore have many applications in fields such as product recommendation and crisis …

Recently, text-based anomaly detection methods have obtained impressive results in social
network services, but their applications are limited to social texts provided by users. To …

Featured Application Specific application include detect hot events and monitor the
development of events, potential applications include public opinion regulatory, monitor …

Social Event Detection (SED) aims to identify significant events from social streams, and has
a wide application ranging from public opinion analysis to risk management. In recent years …

Recently published graph neural networks (GNNs) show promising performance at social
event detection tasks. However, most studies are oriented toward monolingual data in …

Disaster event detection aims to identify events like terrorist attacks, fire incidents, stampede
incidents, building collapse, etc., reported in the online news articles or social media. Place …

Event extraction (EE) is one of the core information extraction tasks, whose purpose is to
automatically identify and extract information about incidents and their actors from texts. This …

Multimodality Representation Learning, as a technique of learning to embed information
from different modalities and their correlations, has achieved remarkable success on a …

In the current age of overwhelming information and massive production of textual data on
the Web, Event Detection has become an increasingly important task in various application …