Semeval-2019 task 6: Identifying and categorizing offensive language in social media (offenseval)
We present the results and the main findings of SemEval-2019 Task 6 on Identifying and
Categorizing Offensive Language in Social Media (OffensEval). The task was based on a …
Categorizing Offensive Language in Social Media (OffensEval). The task was based on a …
Detection of hate speech using bert and hate speech word embedding with deep model
There is an increased demand for detecting online hate speech, especially with the recent
changing policies of hate content and free-of-speech right of online social media platforms …
changing policies of hate content and free-of-speech right of online social media platforms …
Cross-lingual zero-and few-shot hate speech detection utilising frozen transformer language models and AXEL
L Stappen, F Brunn, B Schuller - arXiv preprint arXiv:2004.13850, 2020 - arxiv.org
Detecting hate speech, especially in low-resource languages, is a non-trivial challenge. To
tackle this, we developed a tailored architecture based on frozen, pre-trained Transformers …
tackle this, we developed a tailored architecture based on frozen, pre-trained Transformers …
Towards safer online communities: Deep learning and explainable AI for hate speech detection and classification
The internet and social media facilitate widespread idea sharing but also contribute to cyber-
crimes and harmful behaviors, notably the dissemination of abusive and hateful speech …
crimes and harmful behaviors, notably the dissemination of abusive and hateful speech …
Deep learning for predicting neutralities in offensive language identification dataset
Deep learning is advancing rapidly; it has aided in solving problems that were thought
impossible. Natural language understanding is one such task that has evolved with the …
impossible. Natural language understanding is one such task that has evolved with the …
Offensive language detection with bert-based models, by customizing attention probabilities
P Alavi, P Nikvand, M Shamsfard - arXiv preprint arXiv:2110.05133, 2021 - arxiv.org
This paper describes a novel study on usingAttention Mask'input in transformers and using
this approach for detecting offensive content in both English and Persian languages. The …
this approach for detecting offensive content in both English and Persian languages. The …
[HTML][HTML] Classification of imbalanced offensive dataset–sentence generation for minority class with lstm
E Ekinci - Sakarya University Journal of Computer and …, 2022 - saucis.sakarya.edu.tr
The classification of documents is one of the problems studied since ancient times and still
continues to be studied. With the social media becoming a part of daily life and its misuse …
continues to be studied. With the social media becoming a part of daily life and its misuse …
Liir at semeval-2020 task 12: A cross-lingual augmentation approach for multilingual offensive language identification
This paper presents our system entitledLIIR'for SemEval-2020 Task 12 on Multilingual
Offensive Language Identification in Social Media (OffensEval 2). We have participated in …
Offensive Language Identification in Social Media (OffensEval 2). We have participated in …
Towards safer communities: Detecting aggression and offensive language in code-mixed tweets to combat cyberbullying
Cyberbullying is a serious societal issue widespread on various channels and platforms,
particularly social networking sites. Such platforms have proven to be exceptionally fertile …
particularly social networking sites. Such platforms have proven to be exceptionally fertile …
Negative Stances Detection from Multilingual Data Streams in Low-Resource Languages on Social Media Using BERT and CNN-Based Transfer Learning Model
S Kumar - ACM Transactions on Asian and Low-Resource …, 2024 - dl.acm.org
Online social media allows users to connect with a large number of people across the globe
and facilitate the exchange of information efficiently. These platforms cater to many of our …
and facilitate the exchange of information efficiently. These platforms cater to many of our …