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Men Are from Mars, Women Are from Venus: Evaluation and Modelling of Verbal Associations

机译:男性来自火星,妇女来自金星:口头协会的评估和建模

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We present a quantitative analysis of human word association pairs and study the types of relations presented in the associations. We put our main focus on the correlation between response types and respondent characteristics such as occupation and gender by contrasting syntagmatic and paradigmatic associations. Finally, we propose a per-sonalised distributed word association model and show the importance of incorporating demographic factors into the models commonly used in natural language processing.
机译:我们对人词协会对的定量分析,研究了协会中呈现的关系类型。我们将主要关注响应类型和受访者特征之间的相关性,诸如占用和性别等职业和性别之间的相关性。最后,我们提出了一个每个超声化的分布式单词协会模型,并展示将人口因子纳入自然语言处理常用的模型中的重要性。

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