Decision-makers in the humanitarian sector rely on timely and exact information during crisis
events. Knowing how many civilians were injured during an earthquake is vital to allocate …

Measuring the intensity of events is crucial for monitoring and tracking armed conflict.
Advances in automated event extraction have yielded massive data sets of" who did what to …

Sentiment analysis has become a central tool in various disciplines outside of natural
language processing. In particular in applied and domain-specific settings with strong …

We consider dyadic zero-shot event extraction (EE) to identify actions between pairs of
actors. The\emph {zero-shot} setting allows social scientists or other non-computational …

For monitoring crises, political events are extracted from the news. The large amount of
unstructured full-text event descriptions makes a case-by-case analysis unmanageable …

Determining fatality rates—a critical component of conflict analysis and comprehending the
dynamics of armed conflict in Bangladesh are the main goals of this study. The contributions …

Aligning natural language processing models with stakeholder values is critical to managing
the social biases that a model may learn from data. How to select and use context so that the …

Any corpus of historical records is beyond a simple collection of documents, as it implicitly
hosts a vivid network of connections between entities mentioned within. In this thesis, we …