Events

NLTP Content Meetings – January 20 – Edu: Research Overview (Past, Present, and Future) by Eduardo Calò
We are pleased to announce the first content meeting of the year, which will take place on Tuesday, January 20, at 09:30 in Sjoerd Groenmangebouw A3.17. The topic of the week will be ‘’Edu – Research Overview (Past, Present, and Future)”, presented by our own Eduardo Calò. The meeting link is available upon request.
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NLTP Content Meetings – October 7 – Using ASReview 2 and ASReview-Dory for even more effective SLRs and benchmarking by Timo van der Kuil
We are very pleased to announce that Timo van der Kuil from Utrecht University will deliver a talk on “Using ASReview 2 and ASReview-Dory for even more effective SLRs and benchmarking” at our next content meeting on October 7. The meeting link is available upon request. Please see the details below. Title: Using ASReview 2…
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NLTP Content Meetings – September 16 – Dimensions of Semantic Change: Applying the SIBling Framework to Mental Health Concepts by Naomi Baes
We’re pleased to welcome Naomi Baes from the University of Melbourne to our NLTP Content Meeting on September 16, where they will give a talk on Dimensions of Semantic Change: Applying the SIBling Framework to Mental Health Concepts. The meeting link is available on request. See details below. Title: Dimensions of Semantic Change: Applying the SIBling…
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NLTP Content Meetings – September 9 – Lexical Semantic Change Detection for Ancient Greek by Silvia Stopponi
We’re opening this academic year’s content meetings on September 9 with a talk by Silvia Stopponi, PhD candidate at the Center for Language and Cognition, University of Groningen, on Lexical Semantic Change Detection for Ancient Greek. See the details below. Title: Lexical semantic change detection for Ancient Greek: dataset creation and evaluation of a word-embedding-based…
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6th NLTP Content Meeting Session
🌐 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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