说什么? 实时语言指导 支持初学者在写作语句的交谈代理人培训
Rachel Ostrand1, Kristina Brimijoin1, David Piorkowski1
1IBM Research, Yorktown Heights, NY, USA.
概括
初学者会话代理培训师可以通过实时语言反或示例来提高发言质量. 这份指南有助于更快地创建更好的培训数据,减少新作家的学习曲线.
科学领域:
- 自然语言处理自然语言处理.
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 培训会话代理人需要专业知识,这对新手来说是一个挑战.
- 开发高质量的培训语句对于代理商的表现至关重要.
- 现有的培训发言写作者的方法具有的学习曲线.
研究的目的:
- 调查新手是否可以使用实时语言反引导他们写出更好的训练发言.
- 为了比较两个指导方法的有效性:语言反和样本发言.
- 评估指导对发言质量和多样性的影响.
主要方法:
- 进行了一项用户研究,参与者为对话代理编写培训发言.
- 实施了两个实时指导条件:语言反和样本发言.
- 没有指导的对照条件被用于比较.
主要成果:
- 在两种指导条件下的参与者都产生了更长,更高质量的发言.
- 指导导致书面发言中的词汇和语法多样性增加.
- 这两种反类型与对照类型相比,显著改善了发言质量.
结论:
- 明确的语言指导有效地提高了新手写的培训发言的质量.
- 这种方法可以显著减少新发言作家所需的培训时间和专业知识.
- 实时反和样本发言是增强对话代理培训数据创建的可行方法.
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