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LongBEL framework improves biomedical entity linking with document context

By PulseAugur Editorial · [1 sources] ·

Researchers have developed LongBEL, a new framework for biomedical entity linking that considers the entire document context rather than just individual mentions or sentences. This approach aims to improve consistency by recognizing dependencies between mentions within a document and reducing cascading errors. LongBEL's effectiveness was demonstrated across five biomedical benchmarks in multiple languages, showing significant improvements over existing sentence-level methods, particularly for recurring concepts. AI

IMPACT Enhances accuracy in biomedical text analysis by improving entity linking consistency across entire documents.

RANK_REASON The cluster describes a new academic paper detailing a novel framework for biomedical entity linking. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LongBEL framework improves biomedical entity linking with document context

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The cluster describes a new academic paper detailing a novel framework for biomedical entity linking. [lever_c_demoted from research: ic=1 ai=1.0]
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136 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Christel Gérardin ·

    LongBEL: Long-Context and Document-Consistent Biomedical Entity Linking

    Biomedical entity linking maps textual mentions to concepts in structured knowledge bases such as UMLS or SNOMED CT. Most existing systems link each mention independently, using only the mention or its surrounding sentence. This ignores dependencies between mentions in the same d…

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