PERSONAGE: Personality Generation for Dialogue
PERSONAGE: Personality Generation for Dialogue
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发表时间：
2007-06
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通讯作者：
François Mairesse;M. Walker
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作者：
François Mairesse;M. Walker
在过去的五十年里，人格特质的“大五”模型已经成为心理学的标准，研究已经系统地记录了广泛的语言变量和五大特质之间的相关性。一条截然不同的研究路线探索了自动生成随个性维度变化的语言的方法。我们提出了Persage(个性生成器)，这是第一个高度参数化的外向语言生成器，它是个性的一个重要方面。我们评估了两种人格生成方法：(1)根据心理学文献建议的特定参数设置直接生成；(2)使用从法官评分训练的统计模型进行过度生成和选择。结果表明，根据人类的判断，这两种方法都能可靠地生成沿外倾维度变化的话语。
Over the last fifty years, the “Big Five” model of personality traits has become a standard in psychology, and research has systematically documented correlations between a wide range of linguistic variables and the Big Five traits. A distinct line of research has explored methods for automatically generating language that varies along personality dimensions. We present PERSONAGE (PERSONAlity GEnerator), the first highly parametrizable language generator for extraversion, an important aspect of personality. We evaluate two personality generation methods: (1) direct generation with particular parameter settings suggested by the psychology literature; and (2) overgeneration and selection using statistical models trained from judge’s ratings. Results show that both methods reliably generate utterances that vary along the extraversion dimension, according to human judges.