对话中的表面和上下文语言线索 行为分类:认知科学观点
Guido M Linders1,2, Max M Louwerse1
1Department of Cognitive Science & Artificial Intelligence, Tilburg University.
Cognitive science
|October 23, 2023
概括
表面语言线索是理解发言意图的关键,它们补充了上下文线索. 单词频率在各种公司的对话行为识别中尤为重要.
科学领域:
- 认知科学 认知科学
- 计算语言学 计算语言学
- 自然语言处理自然语言处理.
背景情况:
- 对话行为分类是一种分析发言意图的计算任务.
- 现有的研究往往侧重于模型性能,而没有详细说明提示的重要性.
- 认知科学为研究人类对语言线索的解释提供了一个框架.
研究的目的:
- 研究表面和语境语言线索在识别发言意图中的作用.
- 在对话行为识别中比较不同提示类型的解释能力.
- 了解人类和计算机如何利用语言线索进行语音行为识别.
主要方法:
- 对计算对话行为分类研究和公司的审查.
- 使用后勤回归模型的认知科学方法.
- 对表面和上下文线索的解释变异的分析,包括单词频率统计.
主要成果:
- 表面语言线索是人类对话行为识别的基础.
- 语境线索补充了表面线索,但不那么占主导地位.
- 单词频率统计显著有助于识别对话行为.
- 在不同类型的 corpora 和对话类型中观察到一致的趋势.
结论:
- 表面语言线索在人类语音行为识别中起着至关重要的作用.
- 了解提示的重要性可以增强人类和计算对话的理解.
- 语言暗示分析提供了对沟通认知过程的见解.
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