Entrainment in Pedestrian Direction Giving: How Many Kinds of Entrainment?
Entrainment in Pedestrian Direction Giving: How Many Kinds of Entrainment?
复制标题
行人指路中的夹带：有多少种夹带？
DOI：
10.1007/978-3-319-21834-2_14
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
M. Walker
中科院分区：
文献类型：
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作者：
Zhichao Hu;G. Halberg;C. R. Jimenez;M. Walker
对话中的人类对话者以许多方式调整他们的行为以适应他们的对话伙伴。在语言使用方面，他们通过使用相同的指称短语或句子结构，在词汇和句法上都适应了伴侣。在本文中，我们描述了一个自然语言生成器Persage-Primed，它可以产生包含在人类用户先前话语中使用的一系列话语特征的话语，并在话语上下文中表示。人物引导可以引导到用户的指称表达、时态情态选择、动词和名词词汇选择、模糊限制语和提示词选择、句法模板选择，或者这些的任意组合。据我们所知，没有其他NLG引擎可以在任何话语中动态生成所有这些类型的夹带。我们报道了一项实验，测试了特定话语语境中所有可能的夹带组合，以测试是否更倾向于某些类型的夹带，要么是因为它们使话语更自然，要么是因为人们认为系统更友好。我们的实验结果表明，人类对自然性的判断与友好性是不同的：纠缠在用户的模糊限制语上增加了友好性的感知，而降低了自然性，而缠绕在用户的指称表达上，句法模板选择和时态/情态选择增加了自然感和友好性的感知。
Human conversants in dialog adjust their behavior to their conversational partner in many ways. In terms of language use, they adapt to their partners both lexically and syntactically, by using the same referring expressions or sentence structure. In this paper, we describe a natural language generator personage-primed, which can produce utterances entrained to a range of utterance features used in prior utterances by a human user, and represented in the discourse context. Personage-primed can entrain to the user’s referring expressions, tense-modality selection, verb and noun lexical selection, hedge and cue word choice, and syntactic template selection, or any combination of these. To our knowledge, there is no other NLG engine that can dynamically generate all these types of entrainment in any utterance. We report an experiment testing all possible combinations of entrainment in a particular discourse context in order to test whether some types of entrainment are preferred, either because they make the utterance more natural, or because humans perceive the system as more friendly. Our experimental results suggest that human judgements of naturalness are distinct from friendliness: entraining on a user’s hedges increase perceptions of friendliness while reducing naturalness, while entraining on user’s referring expressions, syntactic template selection and tense/modal choices increase perceptions of both naturalness and friendliness.