Digital journalism has faced a dramatic change and media companies are challenged to use
data science algorithms to be more competitive in a Big Data era. While this is a relatively …

In this research, we extract causal information from textual data and construct a causality
database in the economic field. We develop a method to produce causal chains starting from …

Causal graphs play an essential role in the determination of causalities and have been
applied in many domains including biology and medicine. Traditional causal graph …

To succeed in the information age, students need to learn to communicate their
understanding of complex topics effectively. This is reflected in both educational standards …

Focusing on the supervision problems caused by high-cost and low-quality labeling in
information extraction, we provided a detailed overview of the various approaches that were …

Objective Causality mining is an active research area, which requires the application of state-
of-the-art natural language processing techniques. In the healthcare domain, medical …

This study focuses on discovering the ripple effects on firms of significant external events
such as pandemics, resource price spikes, and natural disasters. We construct a system that …

In the last decade, the decline of print advertising revenue, the distribution of free digital
content and the change of reader's behaviour induced a need of new sources of revenue …

Although railway accident reports and recommendations are proposed after railway
accidents, practitioners and researchers suffer from the need to deal with a large amount of …

This study focuses on discovering the ripple effects on firms of significant external events
such as pandemics, resource price spikes, and natural disasters. For this purpose, we …