Papers with KG entity types

1 papers
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition (2024.lrec-main)

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Challenge: Named entity recognition (NER) is a fundamental task in natural language processing.
Approach: They propose a knowledgeable adapter to incorporate structure and semantic knowledge of knowledge graphs into PLMs for few-shot NER.
Outcome: The proposed adapter improves the quality of retrieved information by adding explicit knowledge from external sources to PEFTs.

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