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page_id: review-dashboard kind: overview language: zh-CN claim_id: clm-review-dashboard-001 claim_status: synthesis

文献复习工作台

阅读优先级

本清单服务于当前课题：strong baseline 下中文临床诊断标准化的 semantic boundary errors 与 equivalence discrimination。

论文卡

• BELB Read Deep：BELB provides access in a unified format to 11 corpora linked to 7 knowledge bases and spanning six entity types: gene, disease, chemical, species, cell line and variant

• BeLink Read Deep：Model / method: A BEL pipeline using re-ranking stage through generative models

• 经典rerank Read Deep：1. Raw input:

• BGE-M3 Read Deep：Model / method: M3-Embedding, which is distinguished for its versatility in Multi-Linguality,

• BioELX Read Deep：Model / method: BioELX, a two-stage cross-lingual BEL framework that requires no task-specific annotated training corpora.

• Biomedical Entity Representations with Synonym Marginalization：Solve problems of the incompleteness of provided synonyms and numerous variations in their surface forms.

• CBLUE Abstract Summary：a collection of natural language understanding tasks including named entity recognition,

• CoRTEx：- Problem1: Due to the vast scale of comprehensive biomedical terminology, neither manual annotations nor pairwise comparison methods prove viable

• Qwen3 Read Deep：Model / method: Qwen3 Embedding series are a series of advanced models in text embedding and reranking capabilities, built upon the Qwen3 foundation models.

• 医学同义词模型 Read Wide：- Core task / problem: 医学术语标准化

• Self-Alignment Pretraining for Biomedical Entity Representations：SapBERT is a pretraining model that self-aligns the representation space of biomedical entites

• 关键问答

• 方法比较

• 概念图谱