Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …

Temporal information retrieval has been a topic of great interest in recent years. Its purpose
is to improve the effectiveness of information retrieval methods by exploiting temporal …

Analyses of text corpora over time can reveal trends in beliefs, interest, and sentiment about
a topic. We focus on views expressed about artificial intelligence (AI) in the New York Times …

Events are happening in real world and real time, which can be planned and organized for
occasions, such as social gatherings, festival celebrations, influential meetings, or sports …

Soft skills are becoming increasingly important and will be critical for success in the
Information Systems profession. Employers complain about a lack in soft skills among …

Many behavioral phenomena, including underweighting of rare events and probability
matching, can be the product of a tendency to rely on small samples of experiences. Why …

Web archives preserve information published on the web or digitized from printed
publications. Much of this information is unique and historically valuable. However, the lack …

We propose a supervised method of extracting event causalities like conduct slash-and-burn
agriculture→ exacerbate desertification from the web using semantic relation (between …

The automatic detection of causal relationships in text is important for natural language
understanding. This task has proven to be difficult, however, due to the need for world …

In this paper, we formally define the problem of representing and leveraging abstract event
causality to power downstream applications. We propose a novel solution to this problem …