Search Results for author: Ezgi Sanıyar

Found 6 papers, 1 papers with code

From Constituency to UD-Style Dependency: Building the First Conversion Tool of Turkish

no code implementations RANLP 2021 Aslı Kuzgun, Oğuz Kerem Yıldız, Neslihan Cesur, Büşra Marşan, Arife Betül Yenice, Ezgi Sanıyar, Oguzhan Kuyrukçu, Bilge Nas Arıcan, Olcay Taner Yildiz

Within the scope of this project, these Turkish phrase structure trees were automatically converted into UD-style dependency structures, using both a rule-based algorithm and a machine learning algorithm specific to the requirements of the Turkish language.

BIG-bench Machine Learning

Building the Turkish FrameNet

no code implementations EACL (GWC) 2021 Büşra Marşan, Neslihan Kara, Merve Özçelik, Bilge Nas Arıcan, Neslihan Cesur, Aslı Kuzgun, Ezgi Sanıyar, Oğuzhan Kuyrukçu, Olcay Taner Yildiz

FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et al., 2001) is a computational lexicography project that aims to offer insight into the semantic relationships between predicate and arguments.

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