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.
no code implementations • gwll (LREC) 2022 • Bilge Arican, Aslı Kuzgun, Büşra Marşan, Deniz Baran Aslan, Ezgi Sanıyar, Neslihan Cesur, Neslihan Kara, Oguzhan Kuyrukcu, Merve Ozcelik, Arife Betul Yenice, Merve Dogan, Ceren Oksal, Gökhan Ercan, Olcay Taner Yildiz
MorphoLex is a study in which root, prefix and suffixes of words are analyzed.
no code implementations • LREC (LAW) 2022 • Arife B. Yenice, Neslihan Cesur, Aslı Kuzgun, Olcay Taner Yildiz
This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies.
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.
no code implementations • LREC 2022 • Büşra Marşan, Oğuz K. Yıldız, Aslı Kuzgun, Neslihan Cesur, Arife B. Yenice, Ezgi Sanıyar, Oğuzhan Kuyrukçu, Bilge N. Arıcan, Olcay Taner Yildiz
A comprehensive and manually annotated UD-style dependency treebank was the input, and constituency trees were the output of the conversion algorithm.