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Updated: Jun 15, 2025

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使用变压器模型和检索增强生成的VAIV生物发现服务

Seonho Kim¹, Juntae Yoon²

¹Department of Computer Science, Sogang University, 35, Baekbeom-Ro, Mapo-Gu, Seoul, Korea. shkim.lex@gmail.com.

BMC bioinformatics

|August 21, 2024

概括

一个新的人工智能驱动的服务,VAIV生物发现,通过提高药物,基因和疾病信息的搜索准确度来增强生物医学知识的发现. 它使用先进的神经搜索和自然语言处理来更好地理解复杂的生物关系.

科学领域:

生物医学信息学生物医学信息学
人工智能的人工智能
计算生物学计算生物学

背景情况:

人工智能的进步,包括大型语言模型 (LLM) 和机器学习,正在越来越多地支持生物医学知识的发现.
非结构化的生物医学文本,如科学文献,包含大量有价值的信息,难以访问和分析.

研究的目的:

介绍VAIV生物发现,一个新的生物医学神经搜索服务.
增强对非结构化生物医学文本的知识发现和文档搜索能力.
促进化学化合物/药物,基因/蛋白质和疾病之间的关系的理解.

主要方法:

开发了一个混合搜索引擎,将神经搜索与BM25概率搜索结合起来.
利用T5slim_dec,适应T5 (文本转换器) 自动回归生成以进行交互提取.
综合检索增强生成 (RAG) 用于根据自然语言查询总结搜索结果.

主要成果:

该系统有效地处理有关化学化合物/药物,基因/蛋白质和疾病的信息,包括它们的相互作用 (例如药物-标,药物-药物,药物-疾病).
提供四种搜索选项:基本,实体和交互搜索和自然语言搜索.
通过结果总结,T5slim_dec模型有助于解释研究结果.

结论:

VAIV生物发现系统展示了对文档中的上下文,语义和术语关系的改进理解,从而提高了搜索准确度.
这一新型服务通过提供更好的相关知识的获取和发现,为生物医学领域做出贡献.

关键词:

生物医学相互作用提取嵌入式嵌入式嵌入式在法学士 (LLM) 课程中.自然语言处理自然语言处理.神经搜索的神经搜索在RAG RAG的基础上.T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T5 T1 T1 T1 T1 T1 T2 T1 T1 T2 T1 T1 T1 T2 T1 T1 T2 T1 T1 T1 文本挖掘 (Text Mining) 是一种文字挖掘方式.变压器变压器变压器

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