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Found 12 papers, 3 papers with code
A Turkish Hate Speech Dataset and Detection System
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.
SU-NLP at CASE 2021 Task 1: Protest News Detection for English
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.
A Twitter Corpus for Named Entity Recognition in Turkish
This paper introduces a new Turkish Twitter Named Entity Recognition dataset.
WordNet and Wikipedia Connection in Turkish WordNet KeNet
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.
SU-NLP at WNUT-2020 Task 2: The Ensemble Models
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.
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022): Workshop and Shared Task Report
We provide a summary of the fifth edition of the CASE workshop that is held in the scope of EMNLP 2022.
SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking
This paper describes the system proposed by Sabanc{\i} University Natural Language Processing Group in the SemEval-2022 MultiCoNER task.
Event Coreference Resolution for Contentious Politics Events
We propose a dataset for event coreference resolution, which is based on random samples drawn from multiple sources, languages, and countries.
Focusing on Potential Named Entities During Active Label Acquisition
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)
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report
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.
SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets
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).
Event Clustering within News Articles
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.
