Papers with biomedical entity linking models
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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David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, Cassie Mitchell
| 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. |