News

Pablo Mosteiro to Deliver a Talk on “How (not?) to Use Large Language Models” at the Human Factor Symposium
Pablo Mosteiro, from our team, will give a talk on “How (not?) to Use Large Language Models” at the upcoming symposium “The Human Factor in Emerging Technologies.”Additional information and the registration form are provided below. Symposium: The Human Factor in Emerging Technologies The rise of new technologies, particularly Artificial Intelligence (AI), is having a profound…
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Pablo Mosteiro Awarded NWO XS Grant
We are pleased to announce that our member, Pablo Mosteiro, has been awarded an NWO XS grant for their project “Evaluation of Linguistic Change Laws Using New Computational Methods.” The project aims to track changes in the usage of individual word senses over time and to assess the validity of two long-standing linguistic laws governing…
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National Conference on AI Transformations
The National Conference on AI Transformations: Language, Technology, and Society took place at the Railway Museum in Utrecht, bringing together leading researchers, professionals, and policymakers to discuss the evolving role of artificial intelligence in language and society. One of the key sessions was delivered by Özgür Togay from the NLTP group, alongside Florian Kunneman, focusing…
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ADS Research Grant Awarded
We are thrilled to announce that Dr. Pablo Mosteiro Romero and Dr. Denis Paperno have been awarded an ADS Research Grant for their project. This initiative aims to investigate the definition of “word” across languages and time, shedding light on one of the most fundamental yet complex concepts in linguistics. For more details, visit the full…
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New Grants for Research Projects in ADS SIGs
The focus area of Applied Data Science (ADS) is offering funding for research projects within its Special Interest Groups (SIGs). The current call, with a deadline of 22 November 2024, supports interfaculty initiatives involving UU and UMCU that align with the objectives of ADS. Funding is available for: Interfaculty research projects applying or developing data…
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