no code implementations • EMNLP (WNUT) 2020 • Kenan Fayoumi, Reyyan Yeniterzi
In this paper, we address the problem of identifying informative tweets related to COVID-19 in the form of a binary classification task as part of our submission for W-NUT 2020 Task 2.
no code implementations • LREC 2022 • Fatih Beyhan, Buse Çarık, İnanç Arın, Ayşecan Terzioğlu, Berrin Yanikoglu, Reyyan Yeniterzi
We present a machine learning system for automatic detection of hate speech in Turkish, along with a hate speech dataset consisting of tweets collected in two separate domains.
1 code implementation • LREC 2022 • Buse Çarık, Reyyan Yeniterzi
This paper introduces a new Turkish Twitter Named Entity Recognition dataset.
no code implementations • ACL (CASE) 2021 • Furkan Çelik, Tuğberk Dalkılıç, Fatih Beyhan, Reyyan Yeniterzi
This paper summarizes our group’s efforts in the multilingual protest news detection shared task, which is organized as a part of the Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) Workshop.
no code implementations • gwll (LREC) 2022 • Merve Doğan, Ceren Oksal, Arife Betül Yenice, Fatih Beyhan, Reyyan Yeniterzi, Olcay Taner Yildiz
This paper aims to present WordNet and Wikipedia connection by linking synsets from Turkish WordNet KeNet with Wikipedia and thus, provide a better machine-readable dictionary to create an NLP model with rich data.
no code implementations • 21 Nov 2022 • Ali Hürriyetoğlu, Hristo Tanev, Vanni Zavarella, Reyyan Yeniterzi, Osman Mutlu, Erdem Yörük
We provide a summary of the fifth edition of the CASE workshop that is held in the scope of EMNLP 2022.
no code implementations • SemEval (NAACL) 2022 • Buse Çarık, Fatih Beyhan, Reyyan Yeniterzi
This paper describes the system proposed by Sabanc{\i} University Natural Language Processing Group in the SemEval-2022 MultiCoNER task.
1 code implementation • 18 Mar 2022 • Ali Hürriyetoğlu, Osman Mutlu, Fatih Beyhan, Fırat Duruşan, Ali Safaya, Reyyan Yeniterzi, Erdem Yörük
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries.
1 code implementation • 6 Nov 2021 • Ali Osman Berk Sapci, Oznur Tastan, Reyyan Yeniterzi
Named entity recognition (NER) aims to identify mentions of named entities in an unstructured text and classify them into predefined named entity classes.
Ranked #14 on Named Entity Recognition (NER) on CoNLL 2003 (English)
no code implementations • ACL (CASE) 2021 • Ali Hürriyetoğlu, Hristo Tanev, Vanni Zavarella, Jakub Piskorski, Reyyan Yeniterzi, Erdem Yörük
This workshop is the fourth issue of a series of workshops on automatic extraction of socio-political events from news, organized by the Emerging Market Welfare Project, with the support of the Joint Research Centre of the European Commission and with contributions from many other prominent scholars in this field.
no code implementations • SEMEVAL 2020 • Anil Ozdemir, Reyyan Yeniterzi
This paper summarizes our group{'}s efforts in the offensive language identification shared task, which is organized as part of the International Workshop on Semantic Evaluation (Sem-Eval2020).
no code implementations • LREC 2020 • Faik Kerem {\"O}rs, S{\"u}veyda Yeniterzi, Reyyan Yeniterzi
Later, we use these predictions as the initial scores and recalculate the pair scores by considering the relation of sentences in a pair with respect to other sentences.