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16 search results for “natural language processing” in the Public website

• 
  Lifeng Han Lecturer

• 
  I-Fan Lin PhD candidate

• 
  Suzan Verberne Professor

• 
  Yee Man Ng PhD candidate

• 
  Farrukh Baratov PhD candidate

• Theory of mind in language, minds, and machines: a multidisciplinary approach Research output

  Humans can see the world through the eyes of other humans and imagine what they know, want, and intend. This competence is known as Theory of Mind.

• 
  Martin Kroon Guest researcher

  Faculty of Humanities

• 
  Mert Yazan PhD candidate / self funded

• 
  Flor Miriam Plaza del Arco Assistant professor

• Emergence of Linguistic Universals in Neural Agents via Artificial Language Learning and Communication Research output

  Human language is constantly evolving with its linguistic structure being shaped by language users at both individual and population levels. Focusing on the interplay between processes of language acquisition and communicative need in shaping human languages, this thesis introduces a novel computational…

• From pixels to patterns: AI-driven image analysis in multiple domains Research output

  This thesis investigates the application of deep learning techniques in image analysis across various domains, focusing on four main themes: feature extraction, classification, segmentation, and integration, demonstrating the transformative potential of these technologies.

• Safe anytime-valid inference: from theory to implementation in psychiatry research Research output

  Classical statistical methods, such as p-values, are difficult for researchers to apply correctly. They for example do not allow drawing conclusions from a study early, or for extending a study with extra research groups that want to make their data available later.

• Healthcare Information System Engineering: AI Technologies and Open Source Approaches Research output

  Healthcare Information Systems (HIS) are essential for modern healthcare delivery, yet their development faces significant challenges including heterogeneous data formats, regulatory compliance, and the growing demand for AI-driven decision support.

• 
  Matthijs Westera Assistant professor

  Faculty of Humanities

• Opinion Diversity through Hybrid Intelligence Research output

  This dissertation explores how Large Language Models (LLMs) can effectively and responsibly contribute to complex decision-making processes. By combining AI and human intelligence, Hybrid Intelligence (HI) emerges, allowing the strengths of both humans and machines to be utilized.

• ‘A last-minute challenge became my biggest breakthrough’ News - 11 December 2025

  Data Science & AI student Nataliia Bagan combines a passion for mathematics, language, and artificial intelligence. Her exceptional bachelor’s thesis on improving reasoning in large language models earned her a nomination for the Leiden Science Young Talent Award 2025.