DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification

Hanna Abi Akl

DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification: 5 upvotes on Hugging Face Daily Papers, #9 of 12 papers on 2024-08-28. Day-by-day upvote history.

We introduce semantic towers, an extrinsic knowledge representation method, and compare it to intrinsic knowledge in large language models for ontology learning. Our experiments show a trade-off between performance and semantic grounding for extrinsic knowledge compared to a fine-tuned model intrinsic knowledge. We report our findings on the Large Language Models for Ontology Learning (LLMs4OL) 2024 challenge.

Paper page on Hugging Face · arXiv

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