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基于语的度量联合学习用于意图检测和使用三重损失优化填补槽

Yusuf Idris Muhammad1,2, Naomie Salim3, Anazida Zainal3

  • 1Faculty of Computing, Universiti Teknologi, 81310, Skudai, Johor, Malaysia. muhammadidris@graduate.utm.my.

Scientific reports
|December 18, 2025
PubMed
概括

本研究介绍了一个基于语的度量联合学习模型 (SBJLIS),以提高口语理解. 这种新的方法增强了对对话性AI的意图检测和填空任务的概括性和准确性.

关键词:
意图检测的目的检测.联合学习 (joint learning) 是一种联合学习方式.姆人是一个姆人.插槽填充 插槽填充三重损失的三重损失

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