A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
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Yayıncı
Springer International Publishing Ag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, we applied lexico-syntactic patterns to disclose meronymy relation from a huge Turkish raw text. Once, the system takes a huge raw corpus and extract matched cases for a given pattern, it proposes a list of whole-part pairs depending on their co-occur frequencies. For the purpose, we exploited and compared a list of pattern clusters. The clusters to be examined could fall into three types; general patterns, dictionary-based pattern, and bootstrapped pattern. We evaluated how these patterns improve the system performance especially within corpusbased approach and distributional feature of words. Finally, we discuss all the experiments with a comparison analysis and we showed advantage and disadvantage of the approaches with promising results.
Açıklama
6th Language and Technology Conference (LTC) -- DEC 07-09, 2013 -- Poznan, POLAND
Anahtar Kelimeler
Meronym, Lexico-Syntactic Patterns, Corpus-Based Approaches
Kaynak
Human Language Technology: Challenges for Computer Science and Linguistics
WoS Q Değeri
N/A
Scopus Q Değeri
Q3
Cilt
9561
