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Updated: Sep 10, 2025

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对稀有疾病信息提取管道,seq2seq模型和LLM进行比较

Shashank Gupta1, Xuguang Ai1, Yuhang Jiang1

  • 1University of Kentucky, Lexington, KY, USA.

Natural language processing and information systems : ... International Conference on Applications of Natural Language to Information Systems, NLDB ... revised papers. International Conference on Applications of Natural Language to Info...
|August 22, 2025
PubMed
概括

管道和序列对序列模型在复杂的生物医学数据的端到端关系提取 (E2ERE) 中表现出色. 尽管大型语言模型 (LLM) 越来越多,但当有培训数据时,传统的E2ERE方法表现优于它们.

关键词:
生物医学关系提取编码器-解码器模型端到端的模型信息提取大型语言模型

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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