Papers by Neslihan Cesur
A Learning-Based Dependency to Constituency Conversion Algorithm for the Turkish Language (2022.lrec-1)
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Büşra Marşan, Oğuz K. Yıldız, Aslı Kuzgun, Neslihan Cesur, Arife B. Yenice, Ezgi Sanıyar, Oğuzhan Kuyrukçu, Bilge N. Arıcan, Olcay Taner Yıldız
| Challenge: | a team of linguists manually annotated a set of constituency trees. |
| Approach: | They propose to create the first Turkish-based dependency-to-constituency conversion algorithm using a morphologic analyser and feature-based machine learning model. |
| Outcome: | The proposed algorithm can be used to generate new constituency treebanks and training data for NLP resources like constituency parsers. |