Word sense disambiguation
Word sense disambiguation task deals with recognizing the meanings of polysemous words. With respect to machine understanding of texts it is important for a machine to recognize which meaning of a polysemous word is used in a given sentence. The goal of word disambiguation methods is to identify the exact meaning of each word in a given sentence. To find meanings along with definitions we use a dictionary of words which contains manually curated meanings, contexts, and definitions. This should give the model enough information to recognize meaning of words in a given text.
Web service should be used for demonstration purposes only, and is limited by the number of requests per time unit and input length. To use the service within your applications, please download results of the projects, available in the Clarin.si repository.
Tool available at: https://github.com/RSDO-DS3/SloWSD