The treatment of emotion vocabulary in FrameNet: Past, present and future developments
The treatment of emotion vocabulary in FrameNet: Past, present and future developments
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FrameNet 中情感词汇的处理：过去、现在和未来的发展
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发表时间：
2018
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通讯作者：
Josef Ruppenhofer
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文献类型：
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作者：
Josef Ruppenhofer
对于心理学和语言学来说，情感概念在几个方面都是对分析的持续挑战。在这篇文章中，我们从多个角度将情感语言作为研究对象。首先，我们考虑 FrameNet 项目对该领域的框架语义分析是如何随着时间的推移，由于理论内部和面向应用的目标而发展的，以实现更细粒度的区别和更大的框架内一致性。其次，我们比较了 FrameNet 对情感领域词汇项目的语言导向分析与领域专家对（直接或间接）产生词汇项目的经验的分析。最后，我们考虑框架语义分析在多大程度上可以捕获诸如态度的内涵和推断等现象，这在情感分析和意见挖掘领域很重要，即使它们不涉及情感的直接唤起。
Both for psychology and linguistics, emotion concepts are a continuing challenge for analysis in several respects. In this contribution, we take up the language of emotion as an object of study from several angles. First, we consider how frame semantic analyses of this domain by the FrameNet project have been developing over time, due to theory-internal as well as application-oriented goals, towards ever more fine-grained distinctions and greater within-frame consistency. Second, we compare how FrameNet’s linguistically oriented analysis of lexical items in the emotion domain compares to the analysis by domain experts of the experiences that give rise (directly or indirectly) to the lexical items. And finally, we consider to what extent frame semantic analysis can capture phenomena such as connotation and inference about attitudes, which are important in the field of sentiment analysis and opinion mining, even if they do not involve the direct evocation of emotion.