Lexical databases

We will take Wordnet as an example of lexical databases because it is frequently used in natural language treatment (NLT) applications to perform certain tasks like text annotation, lexical disambiguation, text analysis, information extraction, semantic indexing, automatic classification, etc. [NEZ 14]. This lexical database has evolved over the course of its history and, currently, the most recent version is 3.1, available online and visually navigable. Wordnet is a thesaurus and a dictionary [IAN 03]. This database is organized like a tree and divided into three sub-databases as a function of the grammatical category, including Wordnet nouns, Wordnet verbs and Wordnet for adjectives and adverbs. Wordnet is made up of a set of meanings or concepts where each concept is represented by terms (synonyms). The concept with the representative synonyms is called a “synset”. There are several semantic relationships with a lexical nature between the synsets, like, for example, synonymy, antonymy (opposing sense), hypernym (more precise meaning), etc. The semantic relationships between the synsets differ according to the grammatical category; however, the nodes originating from different grammatical categories are connected using the “derivationally related form” functionality. Wordnet provides a textual description for each concept containing a definition and certain examples.

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