Natural language processing (NLP) is a rapidly evolving field at the intersection of
linguistics, computer science, and artificial intelligence, which is concerned with develo** …

Gender bias is a pervasive issue that continues to influence various aspects of society,
including the outcomes of information retrieval (IR) systems. As these systems become …

Geographical location is a crucial element of humanitarian response, outlining vulnerable
populations, ongoing events, and available resources. Latest developments in Natural …

Accurate and rapid situation analysis during humanitarian crises is critical to delivering
humanitarian aid efficiently and is fundamental to humanitarian imperatives and the Leave …

Natural language processing (NLP) has grown significantly since the advent of the
Transformer architecture. Transformers have given birth to pre-trained large language …

Humanitarian organizations can enhance their effectiveness by analyzing data to discover
trends, gather aggregated insights, manage their security risks, support decision-making …

Multi-task learning (MTL) has shown considerable practical benefits, particularly when using
language models (LMs). While this is commonly achieved by learning $ n $ tasks under a …

Humanitarian action is accompanied by a mass of reports, summaries, news, and other
documents. To guide its activities, important information must be quickly extracted from such …

Climate change and its associated environmental impacts pose immense challenges that
require innovative approaches to address. This dissertation presents three distinct studies …