Orhan Z.Altan Z.2024-07-122024-07-1220063540490264; 97835404902650302-97432-s2.0-33845951938https://hdl.handle.net/20.500.12415/91365th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence -- 13 November 2006 through 17 November 2006 -- Apizaco -- 68895Word sense disambiguation (WSD) is an important intermediate stage for many natural language processing applications, The senses of an ambiguous word are the classification of usages for that word. WSD is basically a mapping function from a context to a set of applicable senses depending on various parameters. Resource selection, determination of senses for ambiguous words, decision of effective features, algorithms, and evaluation criteria are the major issues in a WSD system, This paper deals with the feature selection strategies for word sense disambiguation task in Turkish language, There are many different features that can contribute to the meaning of a word. These features can vary according to the metaphorical usages, POS of the word, pragmatics, etc, The observations indicated that detecting the critical features can contribute much than the learning methodologies. © Springer-Verlag Berlin Heidelberg 2006.eninfo:eu-repo/semantics/closedAccessConference Object878Q38684293 LNAIWOS:000244587700083N/A