RiCoRecA:richcookingrecipe注释图表表的表达方式是这样的
Filippos Ventirozos1, Mauricio Jacobo-Romero2, Haifa Alrdahi2
1Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.
Frontiers in artificial intelligence
|January 28, 2026
概括
研究人员开发了RiCoRecA,这是一种通过将食谱分析成工作流程来自动化厨房任务的新方案. 这种方法使用一个联合模型来提取信息,通过PEGASUS-X模型实现接近人类的性能.
科学领域:
- 人工智能的人工智能
- 人与计算机的交互
- 计算语言学 计算语言学
背景情况:
- 现代智能厨房缺乏集成的功能,设备独立运行.
- 带有自动化,互联设备的环境厨房的愿景仍然没有实现.
研究的目的:
- 引入RiCoRecA,一种用于将食谱解析成机器可读的工作流程的新方案.
- 为了实现厨房任务的自动化,并推进环境厨房的概念.
主要方法:
- 开发了一个需要命名实体注释,关系识别,核心引用解析和实体跟踪的模式.
- 采用一个共同的模型来同时学习多个信息提取任务.
- 根据RiCoRecA模式创建了一个注释的数据集.
- 将PEGASUS-X和LongT5变压器模型进行配方到工作流解析.
主要成果:
- 在所有注释任务中,PEGASUS-X模型显著优于LongT5.
- 与LongT5.5相比,PEGASUS-X的平均F分数比LongT5.5高了39%.
- 佩加索-X模型表现出与人类注释者可比的性能.
结论:
- RiCoRecA提供了一个可行的方案来表示食谱作为自动化工作流程.
- 信息提取任务的联合学习对于配方分析是有效的.
- 通过准确的食谱理解,PEGASUS-X显示出在推进智能厨房自动化方面非常有前途.
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