Context-based Arabic Word Sense Disambiguation using Short Text Similarity Measure
Mohammed Bekkali, Abdelmonaime Lachkar · 2018
Word Sense Disambiguation (WSD) is the process of determining which sense of a word is used in a given context. Most of Arabic WSD systems are based generally on the information extracted from the local context of the word to be disambiguated by computing the number of overlapping words between the two concepts definitions. This information is not usually sufficient for a best disambiguation. Because of the short nature of concept definition, we believe that exploiting semantic short text similarity measure can improve the identification process of which sense of a word is used in a context.