Natural Language and Text Processing Lab

Events

Paper Presentation

🌐 Discussion Topic: Assessing the Reliability of Annotations in the Context of LLM Predictions and Explanations This event focused on evaluating the reliability of human annotations in NLP tasks and exploring whether Generative AI (GenAI) models can serve as viable alternatives. The research examined demographic influences on labeling decisions and tested explainable AI (XAI) techniques…

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Content Meeting Session

🌐 Event Details: Paper Presentation Location: Sjoerd Groenmangebouw, B.109 Discussion Topic: Assessing the Reliability of Annotations in the Context of LLMs Predictions and Explanations πŸ”Overview of the Meeting: A presentation will be given on “Assessing the Reliability of Annotations in the Context of LLM Predictions and Explanations” as part of the Applied Data Science grant…

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Content Meeting Session – 3rd September 2024

🌐 Discussion Topic: A Comparison of Correspondence Analysis with PMI-Based Word Embedding Methods πŸ” Overview of the Presentation This session explored the integration of Correspondence Analysis (CA) with popular PMI-based word embedding techniques like GloVe and Word2Vec. The research presented a novel link between CA and PMI, demonstrating how square-root and root-root transformations can significantly…

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Content Meeting Session – 3rd June 2024

🌐 Discussion Topic: Using Token Classification to Study Historical Attitudes Towards Plants and Animals This event focused on an innovative approach to mining and analyzing Dutch attitudes towards plants and animals from 1550 to 2000, utilizing computational humanities and natural language processing (NLP). πŸ” Overview of the Presentation This approach integrates cultural history, literary studies,…

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Content Meeting Session – 6th May 2024

🌐 Discussion Topic: Demographic differences in beliefs and self-presentation strategies: Human Vs AI recruitment This event focused on groundbreaking research in the field of recruitment and human resources, examining how self-presentation strategies vary across demographics and how they are influenced by personal beliefs, societal values, and individual experiences. πŸ” Overview of the Presentation The presentation…

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