论文标题
使用联合多维注释对心理语言规范的句子水平估计
Sentence level estimation of psycholinguistic norms using joint multidimensional annotations
论文作者
论文摘要
心理语言规范使用数字分数代表各种情感和心理结构，并用于自然语言处理的各种应用中。它们通常在句子级别使用，其分数是通过使用简单的聚合策略推断单词级别得分来估算的，这可能并不总是最佳的。在这项工作中，我们提出了一种新颖的方法来估计句子级别的心理语言规范。我们将多维注释融合模型应用于单词级别的注释，以估计一个捕获不同规范之间关系的参数。然后，我们在句子级别使用此参数来估计规范。我们通过预测各种规范维度的句子水平得分来评估我们的方法，并与标准单词聚合方案进行比较。
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.
