1 code implementation • NAACL (ACL) 2022 • Huseyin Alecakir, Necva Bölücü, Burcu Can
We introduce a neural Turkish NLP toolkit called TurkishDelightNLP that performs computational linguistic analyses from morphological level to semantic level that involves tasks such as stemming, morphological segmentation, morphological tagging, part-of-speech tagging, dependency parsing, and semantic parsing, as well as high-level NLP tasks such as named entity recognition.
no code implementations • LREC 2022 • Necva Bölücü, Burcu Can
This is the initial version of the annotated dataset and we are currently extending the dataset.
no code implementations • 1 Oct 2021 • Necva Bölücü, Burcu Can
Graph-based representation is one of the semantic representation approaches to express the semantic structure of a text.
no code implementations • 24 May 2017 • Necva Bölücü, Burcu Can
Our results show that joint POS tagging and stemming improves PoS tagging scores.