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What do large language models really know-and what does it mean to live alongside them? This book offers a critical and interdisciplinary exploration of large language models (LLMs), examining how they reshape our unders...
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Debates about artificial consciousness ask whether AI systems possess subjective experience or intentionality. This paper argues that this question, while philosophically legitimate, displaces attention from a more conse...
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La traduction automatique (TA) est un domaine de recherche ancien, dont les débuts ont coïncidé avec ceux de l’informatique, juste après la Seconde Guerre mondiale. La TA a considérablement évolué ces dernières années : ...
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Although it is well known that word meaning evolves over time, the cause and the pace of change is still largely unknown. In this context, computational modelling can shed new light on the problem by considering at the s...
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The automatic acquisition of verbal constructions is an important issue for natural language processing. In this paper, we have a closer look at two fundamental aspects of the description of the verb: the notion of lexic...
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How are social and epistemic structures driving future interactions in scientific research? We analyzed a very large data set of scientific publications (APS dataset) to investigate the social dynamics of collaboration n...
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Given a corpus of financial news labelled according to the market reaction following their publication, we investigate cotemporeneous and forward-looking price stock movements. Our approach is to provide a pool of releva...