6 citations · 21 across the 11 of their papers we have counts for
6 papers · 1 filter
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and Recognition
Gürkan Soykan, Deniz Yuret, Tevfik Metin Sezgin
This study focuses on improving the optical character recognition (OCR) data for panels in the COMICS dataset, the largest dataset containing text and images from comic books. To d…
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022): Workshop and Shared Task Report
Ali Hürriyetoğlu, Hristo Tanev, Vanni Zavarella +3
We provide a summary of the fifth edition of the CASE workshop that is held in the scope of EMNLP 2022. The workshop consists of regular papers, two keynotes, working papers of sha…
Transformers on Multilingual Clause-Level Morphology
Emre Can Acikgoz, Tilek Chubakov, Müge Kural +2
This paper describes our winning systems in MRL: The 1st Shared Task on Multilingual Clause-level Morphology (EMNLP 2022 Workshop) designed by KUIS AI NLP team. We present our work…
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
Barış Batuhan Topal, Deniz Yuret, Tevfik Metin Sezgin
Drawings are powerful means of pictorial abstraction and communication. Understanding diverse forms of drawings, including digital arts, cartoons, and comics, has been a major prob…
Self-Supervised Learning with an Information Maximization Criterion
Serdar Ozsoy, Shadi Hamdan, Sercan Ö. Arik +2
Self-supervised learning allows AI systems to learn effective representations from large amounts of data using tasks that do not require costly labeling. Mode collapse, i.e., the m…
Mukayese: Turkish NLP Strikes Back
Ali Safaya, Emirhan Kurtuluş, Arda Göktoğan +1
Having sufficient resources for language X lifts it from the under-resourced languages class, but not necessarily from the under-researched class. In this paper, we address the pro…