Papers with biomedical entity linking models

2 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.
A Comprehensive Evaluation of Biomedical Entity Linking Models (2023.emnlp-main)

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Challenge: Current methods struggle to correctly link genes and proteins and often have difficulty incorporating context into linking decisions.
Approach: They evaluate nine recent state-of-the-art biomedical entity linking models under a unified framework.
Outcome: The proposed models are compared along axes of accuracy, speed, ease of use, generalization, adaptability and adaptability to new ontologies and datasets.

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