Impact of feature selection for corpus-based WSD in Turkish
Küçük Resim Yok
Tarih
2006
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Word 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.
Açıklama
5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence -- 13 November 2006 through 17 November 2006 -- Apizaco -- 68895
Anahtar Kelimeler
Kaynak
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
4293 LNAI
