Scaled Pearson S Correlation Coefficient For Evaluating Text Similarity Measures
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Scaled Pearson’s Correlation Coefficient for Evaluating Text Similarity Measures
Despite the ever-increasing interest in the field of text similarity methods, the development of adequate text similarity methods is lagging. Some methods are decent in entailment while others are reasonable to the degree to which two texts are similar. Very often, these methods are compared using Pearson’s correlation; however, Pearson’s correlation is bound to outliers that could affect the final correlation coefficient figure. As a result, the Pearson correlation is inadequate to find which text similarity method is better in situations where data items are very similar or are unrelated. This paper borrows the scaled Pearson correlation from the finance domain and builds a metric that can evaluate the performance of similarity methods over cross-sectional datasets. Results showed that the new metric is fine-grained with the benchmark dataset scores range as a promising alternative to Pearson’s correlation. Moreover, extrinsic results from the application of the System Usability Scale (SUS) questionnaire on the scaled Pearson correlation revealed that the proposed metric is attaining attention from scholars which implicate its usage in the academia.
Assessment Scales in Child and Adolescent Psychiatry
Mental disorders such as attention-deficit hyperactivity disorder (ADHD), depression, and autism have devastating consequences on the lives of children and adolescents. Early assessment of their mental health problems is essential for preventative measures and intervention. This timely, authoritative guide will be of interest to everyone involved i
Recent Advances in Natural Language Processing V
Author: Nicolas Nicolov
language: en
Publisher: John Benjamins Publishing
Release Date: 2009
Linguistics, Corpus Linguistics, and Machine Translation." --Book Jacket.