DSTI at LLMs4OL 2024 Task A: Intrinsic Versus Extrinsic Knowledge for Type Classification
Hanna Abi Akl · Open Conference Proceedings · 2024
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's intrinsic knowledge. We report our findings on the Large Language Models for Ontology Learning (LLMs4OL) 2024 challenge.