Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Donnerstag 4: Donnerstag 4 – Poster Session 2 Location: Main Ceremonial Hall (Grosser Festsaal) | |
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Rhythmicalizer Revisited: Adapting Large Language Models for Rhythmic Classification of Free Verse Poetry 1: Faculty of Informatics and Mathematics, OTH Regensburg, Germany; 2: Department of Literary Studies, Freie Universität Berlin, Germany This work revisits the Rhythmicalizer project’s approach to classify German free-verse Poetry into prosodic categories using deep learning (Baumann et al., 2018). The rise of Large Language Models (LLMs) and foundation models pre-trained on vast amounts of text and speech begs the question whether these are more appropriate for poetic tasks than the original project’s multimodal GRUs. This study evaluates LLM and foundation model performance on the original corpus and compares them to the original classifier. | |