谷歌和ChatGPT的比较,用于自动生成与健康相关的多选择题
Vivien Song1, David Kauchak1, John Hamre1
1Pomona College, Claremont, CA.
概括
我们探索了健康内容的自动提问生成,以提高文本的可访问性. 聊天GPT和谷歌相关的搜索问题都是有用的,提供了对内容难度和用户理解的互补见解.
科学领域:
- 卫生沟通健康沟通
- 自然语言处理自然语言处理.
- 教育技术的教育技术.
背景情况:
- 制作可访问的健康内容需要了解影响理解的因素.
- 开发评估文本难度的方法对于改善用户理解至关重要.
- 为了测量内容难度,正在创建一个带有问题的大量健康文本.
研究的目的:
- 检查健康相关文本的自动生成多选择题.
- 为了比较使用谷歌相关问题和ChatGPT的问题生成方法.
- 为创建一个语料库来评估文本的难度和用户的理解提供信息.
主要方法:
- 利用谷歌的相关问题功能来生成问题.
- 采用ChatGPT用于自动生成多选题问题.
- 分析生成的问题以与源文本的相似性和词汇变化进行分析.
主要成果:
- 聊天GPT和谷歌相关搜索算法都产生了合理的多选项问题.
- 聊天GPT生成的问题与原始文本片段的相似性更高.
- 与谷歌相关的搜索问题显示出更大的词汇多样性.
结论:
- 自动生成问题工具可以帮助创建可访问的健康内容.
- 不同问题生成算法的互补使用可以提供全面的见解.
- 调查结果支持开发文本库,以评估文本的难度并提高用户的理解能力.
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