Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms
Küçük Resim Yok
Tarih
2009
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer-Verlag Berlin
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper reports on the results of some pronoun resolution experiments performed by applying a decision tree and a rule-based algorithm on an annotated Turkish text. The text has been compiled mostly from various popular child stories in a semi-automatic way. A knowledge-lean learning model has been devised using only nine most commonly employed features. An evaluation and comparison of the performances achieved with the two different algorithms is offered in terms of the recall, precision and f-measure metrics.
Açıklama
3rd Language and Technology Conference 2007 -- OCT 05-07, 2007 -- Poznan, POLAND
Anahtar Kelimeler
Anaphora, Pronoun Resolution
Kaynak
Human Language Technology: Challenges of The Information Society
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
5603
