Homa applies an ontology-alignment RAG pipeline with a fine-tuned retriever and a 0.5B language model to library subject tagging, scoring 2.84 precision, 20.30 recall, and 4.66 F1 on the SemEval-2025 test set.
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Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging
Homa applies an ontology-alignment RAG pipeline with a fine-tuned retriever and a 0.5B language model to library subject tagging, scoring 2.84 precision, 20.30 recall, and 4.66 F1 on the SemEval-2025 test set.