The Dimensions of Lexical Semantic Resource Quality

Measuring the quality of lexical-semantic resources is a challenging problem. In this paper, we describe a general approach for quality evaluation in lexical-semantic resources in terms of the quality of their synsets. We also introduce a complete definition for the quality of lexical-semantic resources as a set of synset incorrectness, incompleteness, and connectivity measures that evaluate all synset components. This study demonstrates that synset quality is a summation process that integrates the quality measures of synset components. Furthermore, we then address the main challenges that affect the optimal quality achievement of lexical-semantic resources. Our work, thus, serves to evaluate the quality of monolingual and multilingual lexical-semantic resources and achieves accurate results in natural language processing (NLP) applications.