用TransDis:基于变压器的语言模型方法自动评估中文语言的分歧思维
Tianchen Yang1, Qifan Zhang2, Zhaoyang Sun1
1School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China.
Behavior research methods
|December 22, 2023
概括
TransDis 是一种用于自动评估中文创造力的新系统. 它使用基于变压器的语言模型可靠地测量想法的原创性和灵活性,为研究人员提供低成本的工具.
科学领域:
- 计算语言学 计算语言学
- 心理学 心理学 心理学
- 人工智能的人工智能
背景情况:
- 自动创造力评估正在利用语义距离的语言模型获得引力.
- 在中国语言的创意创意的自动化评估系统中存在一个显著的差距.
研究的目的:
- 开发和验证TransDis,这是一个评分系统,用于评估中国人的创意创意的原创性 (新性) 和灵活性 (多样性).
- 与人类评分和其他创造力指标相比,确定TransDis的可靠性和有效性.
主要方法:
- 利用基于变压器的语言模型来创建TransDis评分系统.
- 进行了三项研究,以评估TransDis的预测有效性,标准有效性和区分不同参与者指令的能力.
主要成果:
- TransDis的独创性和灵活性得分与人类评分有很强的预测和相关性.
- 模型评级的创造力测量表明,标准的有效性与人类评级相当.
- TransDis成功地区分了创意与常用用途以及灵活与持久的想法生成.
结论:
- TransDis提供了一种可靠,低成本和有效的工具,用于测量中文的想法原创性和灵活性.
- 该系统有可能在多种语言中推进自动创造力评估.
- 开放的TransDis平台为中文和50多种其他语言提供.
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