The Quality of Lexical Semantic Resources: A Survey

With the increase of the lexical-semantic resources built over time, lexicon content quality has gained significant attention from Natural Language Processing experts such as lexicographers and linguists. Estimating lexicon quality components like synset lemmas, synset gloss, or synset relations are challenging research problems for Natural Language Processing. Several lexicon content quality approaches have been proposed over years in order to enhance the work of many applications such as machine translation, information retrieval, word sense disambiguation, data integration, and others. In this research, a survey for evaluation the quality of lexical semantic resources is presented.