DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for
  type classification
Authors: name: Hanna Abi Akl

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.