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Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractSemEval 2019 Task 6 was OffensEval: Identifying and Categorizing Offensive Language in Social Media. The task was further divided into three sub-tasks: offensive language identification, automatic categorization of offense types, …...

25723

KMI-Coling at SemEval-2019 Task 6: Exploring N-grams for Offensive Language detection

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractIn this paper, we present the system description of Offensive language detection tool which is developed by the KMI_Coling under the OffensEval Shared task. The OffensEval Shared Task was conducted …...

25734

Amsqr at SemEval-2020 Task 12: Offensive Language Detection Using Neural Networks and Anti-adversarial Features

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes a method and system to solve the problem of detecting offensive language in social media using anti-adversarial features. Our submission to the SemEval-2020 task 12 challenge was …...

24414

NUIG at SemEval-2020 Task 12: Pseudo Labelling for Offensive Content Classification

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis work addresses the classification problem defined by sub-task A (English only) of the OffensEval 2020 challenge. We used a semi-supervised approach to classify given tweets into an offensive (OFF) …...

24457

SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

The widespread use of offensive content in so- cial media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent work presented …...

34103