BioELX

• Paper:
• PDF: [[|论文.pdf]]
• Venue / year: 2026
• Topic: Cross-lingual BEL

1. To Understand List

2. Abstract

• Model / method: BioELX, a two-stage cross-lingual BEL framework that requires no task-specific annotated training corpora.
• Problem: However, expert-annotated training data for BEL are costly, especially for low-resource languages. Moreover, many cross-lingual BEL systems rely on SapBERT-based retrievers trained on predominantly English aliases in the KB, leading to poor generalization to unseen non-English mentions and limited context-aware disambiguation.
• Method:
• Result: Experiments on five benchmarks (XL-BEL, EMEA, Patent, WikiMed-DE, and MedMentions) show that BioELX achieves new stateof-the-art performance

• Keywords:

3. Problem-Solution Chain

Introduction Notes

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4. Related Works

What this paper does

Prior work map

5. Key Figure / Pipeline

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6. Methods

Core idea

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7. Experiments

Setup

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8. Conclusion

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