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DLnLD: Deep Learning and Linked Data
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PROGRAM
Tuesday May 21, 2024 | |
| 09:00–10:30 Session 1 # %chair1 Hugo Gonçalo Oliveira %aff1 University of Coimbra, Portugal | |
| 9:00–9:20 | Investigating the Impact of Different Graph Representations for Relation Extraction with Graph Neural Networks Moritz Blum, Gennaro Nolano, Basil Ell and Philipp Cimiano |
| 9:20–9:40 | TaxoCritic: Exploring Credit Assignment in Taxonomy Induction with Multi-Critic Reinforcement Learning Injy Sarhan, Bendegúz Toth, Pablo Mosteiro and Shihan Wang |
| 9:40–10:00 | Combining Deep Learning Models and Lexical Linked Data: Some Insights from the Development of a Multilingual News Named Entity Recognition and Linking Dataset Emmanuel Cartier and Emile Peetermans |
| 10:00–10:20 | Deductive Verification of LLM Generated SPARQL Queries Alexandre Rademaker, Guilherme Lima, Sandro Rama Fiorini and Viviane Torres da Silva |
| 11:00–13:00 Session 2 # %chair1 Gilles Sérasset %aff1 Université Grenoble Alpes, France | |
| 11:00–11:20 | How to Turn Card Catalogs into LLM Fodder Mary Ann Tan, Shufan Jiang and Harald Sack |
| 11:20–11:40 | Evaluating Large Language Models for Linguistic Linked Data Generation Maria Pia di Buono, Blerina Spahiu and Verginica Barbu Mititelu |
| 11:40–12:00 | Towards Automated Evaluation of Knowledge Encoded in Large Language Models Bruno Carlos Luís Ferreira, Catarina Silva and Hugo Gonçalo Oliveira |
| 12:00–12:20 | Self-Evaluation of Generative AI Prompts for Linguistic Linked Open Data Modelling in Diachronic Analysis Florentina Armaselu, Chaya Liebeskind and Giedre Valunaite Oleskeviciene |
| 12:20–13:00 | Discussions and further work on the topic |