Papers with entity linking accuracy

2 papers
Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking (P18-2)

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Challenge: a cross-lingual coreference model is based on multi-lingual embeddings and language independent features.
Approach: They propose a crosslingual coreference model that builds on multi-lingual embeddings and language independent features.
Outcome: The proposed model outperforms the existing models on Chinese and Spanish test sets.
MedLinkDE – MedDRA Entity Linking for German with Guided Chain of Thought Reasoning (2025.emnlp-main)

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Challenge: In pharmacovigilance, effective automation of medical data structuring is critical.
Approach: They propose a German real-world MedDRA dataset that uses embedding models to retrieve medical terms and guided chain-of-thought re-ranking using LLMs.
Outcome: The proposed approach shows that it is feasible to integrate German data with German MedDRA datasets under the constraints of data scarcity.

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