activity
20182026
most citedImproving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags

20 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

TurkBench: A Benchmark for Evaluating Turkish Large Language Models

Çağrı Toraman, Ahmet Kaan Sever, Ayse Aysu Cengiz +19

With the recent surge in the development of large language models, the need for comprehensive and language-specific evaluation benchmarks has become critical. While significant pro…

cs.CL2022★ 5 cited

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…

cs.IR2020

NeuroBoun: An inquiry-based approach for exploring scientific literature -- a use case in neuroscience

S. Uskudarli, E. Gökdeniz, R. Canbeyli

Online scientific publications provide vast opportunities for researchers. Alas, the quantity and the rate of increase in the articles make the utilization of these resources very…

cs.HC2018

Renarration for All

T. B. Dinesh, S. Uskudarli

The accessibility of content for all has been a key goal of the Web since its conception. However, true accessibility -- access to relevant content in the global context -- has bee…

cs.CL2018★ 20 cited

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…