Papers with ambiguous mentions involving rare entities

1 papers
BioFEG: Generate Latent Features for Biomedical Entity Linking (2023.emnlp-main)

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Challenge: Existing approaches to biomedical entity linking suffer from multiple types of errors due to the rarity of many biomedically relevant entities in real-world scenarios.
Approach: They propose a latent feature generation framework to generate latent semantic features for unseen entities to capture fine-grained coherence information of unseened entities.
Outcome: The proposed framework is superior to existing models on two benchmark datasets.

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