no code implementations • 6 Mar 2021 • Eleni Partalidou, Despina Christou, Grigorios Tsoumakas
We achieve a new state-of-the-art 84. 28% accuracy on top-50 candidates on the Zeshel dataset, compared to the previous 82. 06% on the top-64 of (Wu et al., 2020).
no code implementations • 5 Dec 2019 • Eleni Partalidou, Eleftherios Spyromitros-Xioufis, Stavros Doropoulos, Stavros Vologiannidis, Konstantinos I. Diamantaras
This paper proposes a machine learning approach to part-of-speech tagging and named entity recognition for Greek, focusing on the extraction of morphological features and classification of tokens into a small set of classes for named entities.