6 citations · 16 across the 7 of their papers we have counts for
10 papers
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…
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…
Cross-context News Corpus for Protest Events related Knowledge Base Construction
Ali Hürriyetoğlu, Erdem Yörük, Deniz Yüret +4
We describe a gold standard corpus of protest events that comprise of various local and international sources from various countries in English. The corpus contains document, sente…
KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media
Ali Safaya, Moutasem Abdullatif, Deniz Yuret
In this paper, we describe our approach to utilize pre-trained BERT models with Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language Identification s…