A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages. - Saziye Betül Özates; Arzucan Özgür; Tunga Gungor; Balkiz Öztürk (CoNLL Shared Task (2), 2018)

Turkish Treebanking: Unifying and Constructing Efforts. - Utku Türk; Furkan Atmaca; Saziye Betül Özates; Abdullatif Köksal; Balkiz Öztürk Basaran; Tunga Gungor; Arzucan Özgür (LAW@ACL, 2019)

A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning. - Saziye Betül Özates; Arzucan Özgür; Tunga Güngör; Balkiz Öztürk (CoRR, 2020)

Enhancements to the BOUN Treebank Reflecting the Agglutinative Nature of Turkish. - Büsra Marsan; Salih Furkan Akkurt; Muhammet Sen; Merve Gürbüz; Onur Güngör 001; Saziye Betül Özates; Suzan Üsküdarli; Arzucan Özgür; Tunga Güngör; Balkiz Öztürk (ALTNLP, 2022)

A Hybrid Deep Dependency Parsing Approach Enhanced With Rules and Morphology: A Case Study for Turkish. - Saziye Betül Özates; Arzucan Özgür; Tunga Güngör; Balkiz Öztürk Basaran (IEEE Access, 2022)

Resources for Turkish dependency parsing: introducing the BOUN Treebank and the BoAT annotation tool. - Utku Türk; Furkan Atmaca; Saziye Betül Özates; Gözde Berk; Seyyit Talha Bedir; Abdullatif Köksal; Balkiz Öztürk Basaran; Tunga Güngör; Arzucan Özgür (Lang. Resour. Evaluation, 2022)

Evaluating the Quality of a Corpus Annotation Scheme Using Pretrained Language Models. - Salih Furkan Akkurt; Onur Güngör 001; Büsra Marsan; Tunga Gungor; Balkiz Öztürk Basaran; Arzucan Özgür; Susan Üsküdarli (LREC/COLING, 2024)