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Explore a comprehensive tech tutorial that demonstrates a method for discovering new senses in textual language collocations using knowledge graphs. Learn how the presenter enhances basic knowledge graph solutions by incorporating embeddings and LLM architectures. Follow along as key graph measures like degree, betweenness, and closeness are calculated using data from the Slovenian Corpus (CLARIN.SI). This presentation represents an original contribution to Slovenian language development in semantic-sense analysis, delivered at DSC EUROPE 24 in Belgrade on November 18th.
