使用联合多维注释的心理语言学规范的句级估计
Sentence level estimation of psycholinguistic norms using joint multidimensional annotations
摘要：
心理语言规范词使用数字分数表示各种情感和心理结构，并用于自然语言处理中的各种应用。它们通常用于句子级别，其分数通过使用简单的聚合策略外推单词级别分数来估计，这可能并不总是最佳的。在这项工作中，我们提出了一个新的方法来估计心理语言规范在句子水平。我们应用多维注释融合模型的注释在字的水平，以估计一个参数，捕捉不同的规范之间的关系。然后，我们使用这个参数在句子水平估计的规范。我们评估我们的方法，预测句子水平的分数为各种规范的尺寸和标准的词聚合方案进行比较。
英文摘要：
Psycholinguistic normatives represent various affective and mental constructs using numeric scores and are used in a variety of applications in natural language processing. They are commonly used at the sentence level, the scores of which are estimated by extrapolating word level scores using simple aggregation strategies, which may not always be optimal. In this work, we present a novel approach to estimate the psycholinguistic norms at sentence level. We apply a multidimensional annotation fusion model on annotations at the word level to estimate a parameter which captures relationships between different norms. We then use this parameter at sentence level to estimate the norms. We evaluate our approach by predicting sentence level scores for various normative dimensions and compare with standard word aggregation schemes.
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