20 citations · 33 across the 3 of their papers we have counts for
3 papers
Enhancements to the BOUN Treebank Reflecting the Agglutinative Nature of Turkish
Büşra Marşan, Salih Furkan Akkurt, Muhammet Şen +7
In this study, we aim to offer linguistically motivated solutions to resolve the issues of the lack of representation of null morphemes, highly productive derivational processes, a…
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
Onur Güngör, Suzan Üsküdarlı, Tunga Güngör
Previous studies have shown that linguistic features of a word such as possession, genitive or other grammatical cases can be employed in word representations of a named entity rec…
Morphological Embeddings for Named Entity Recognition in Morphologically Rich Languages
Onur Gungor, Eray Yildiz, Suzan Uskudarli +1
In this work, we present new state-of-the-art results of 93.59,% and 79.59,% for Turkish and Czech named entity recognition based on the model of (Lample et al., 2016). We contribu…