Identification of Social Acts in Dialogue
Identification of Social Acts in Dialogue
复制标题
对话中社会行为的识别
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Hui Wang
中科院分区：
文献类型：
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作者：
D. Bracewell;Marc T. Tomlinson;Hui Wang
社交媒体上对话的出现需要新的对话处理模式的发展。我们认为，为了解决连贯性和推断社会对话的含义，理解对话参与者的社会愿望至关重要。理解社会对话的一个关键方面是理解参与者的意图和目标。在本文中，我们提出了11个社会行为，它们捕捉了大量的社会意图和目标。我们将社会行为定义为实用的言语行为，旨在深入了解个体在对话交流中无意识地经历的社会认知过程。社会行为的识别是使用生成模型的组合来完成的，在生成模型中，话语是从定义给定社会行为的间隙模式生成的，以及一系列二元分类器。我们的实验表明，我们可以用50.4%的总体f值来捕捉这些社会行为。
The emergence of dialogue on social medial neccessitates the development of new dialogue processing models. We argue that to address coherence and to infer the implicatures of social dialogue it is vital to understand the social aspirations of the dialogue participants. One key aspect of understanding social dialogue is to understand the intentions and goals of participants. In this paper, we present 11 social acts that capture a broad number of social intentions and goals. We define social acts as pragmatic speech acts designed to give insight into the socio-cognitive processes that individuals unconsciously go through when communicating in dialogue. Identification of the social acts is done using a combination of a generative model in which utterances are generated from gappy patterns, which define a given social act, and a series of binary classifiers. Our experimentation shows that we can capture these social acts with an overall F-measure of 50.4%.