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LATTE: Latent Type Modeling for Biomedical Entity Linking

AAAI 2020 · Label-efficient and robust learning › Recognition and long-tail · approach: Multilingual language representation pretraining · 28 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add latent-type modeling with cross-attention to the base model (ablation)LATTE · MedMentionsP@1: 80.02 -> 86.09Helped
Add latent-type modeling with cross-attention to the base model (ablation)LATTE · 3DNotesP@1: 84.08 -> 86.40Helped
Add known-type classification supervision to the base model (ablation)LATTE · MedMentionsP@1: 80.02 -> 87.73Helped
Add known-type classification supervision to the base model (ablation)LATTE · 3DNotesP@1: 84.08 -> 87.80Helped
Add latent-type modeling to the known-type-supervised variant (ablation)LATTE · MedMentionsP@1: 87.73 -> 88.46Helped
Add latent-type modeling to the known-type-supervised variant (ablation)LATTE · 3DNotesP@1: 87.80 -> 87.98Helped
Add known-type classification supervision to the latent-type variant (ablation)LATTE · MedMentionsP@1: 86.09 -> 88.46Helped
Add known-type classification supervision to the latent-type variant (ablation)LATTE · 3DNotesP@1: 86.40 -> 87.98Helped
Add latent-type similarity and known-type supervision together (ablation)LATTE · 3DNotesMAP: 92.66 -> 92.49Hurt

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