Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

Storytelling and narrative are fundamental to human experience, intertwined with our social
and cultural engagement. As such, researchers have long attempted to create systems that …

The diffusion of rumors on social media generally follows a propagation tree structure, which
provides valuable clues on how an original message is transmitted and responded by users …

Information Extraction, which is also a natural language processing domain that tries to find
required information in structured, semi structured and unstructured Data. We draw a …

Background: Mental health problems are widely recognized as a major public health
challenge worldwide. This concern highlights the need to develop effective tools for …

Deep learning models have been studied to forecast human events using vast volumes of
data, yet they still cannot be trusted in certain applications such as healthcare and disaster …

In recent years, we witness the explosion of false and unconfirmed information (ie, rumors)
that went viral on social media and shocked the public. Rumors can trigger versatile, mostly …

Classical event encoding and extraction methods rely on fixed dictionaries of keywords and
templates or require ground truth labels for phrase/sentences. This hinders widespread …

Background Mental health problems are widely recognized as a major public health
challenge worldwide. This highlights the need for effective tools for detecting mental health …

The growing number of devices using the wireless spectrum makes it important to find ways
to minimize interference and optimize the use of the spectrum. Deep learning models, such …