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Grounding Epistemic Modality in Speakers' Judgments

机译:演讲者判断中的认知情态基础

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As an alternative to subjective and informal expert opinions, we here propose to ground natural language expressions for epistemic modality, such as "possibly", or "might indicate", in empirical data solicited from members of the speakers' community in epistemic judgment tasks. In an online questionnaire study, we asked 86 subjects to rate the degree of certainty of propositions relative to 27 linguistic expressions. Based on a thorough statistical analysis of the responses we received, we are able to quantify the likelihood as well as ranges of certainty associated with these propositions. Moreover, we generalize these data in terms of an empirically motivated, tri-partite category system of expression sets for prepositional certainty which can be reused, e.g. for standardizing annotation guidelines.
机译:作为主观和非正式专家意见的替代方法,我们在此建议在演讲者社区成员在认知判断任务中收集的经验数据中,将自然语言表达用于认知情态,例如“可能”或“可能表明”。在一项在线问卷调查中,我们要求86位受试者对命题相对于27种语言表达的确定性进行评分。在对收到的答复进行全面的统计分析的基础上,我们能够量化与这些命题相关的可能性以及确定性范围。此外,我们根据经验动机,表达式集合的三方分类系统来概括这些数据,以实现介词确定性,该系统可以重复使用,例如用于标准化注释准则。

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