SemEval-2020 task 12: Multilingual offensive language identification in social media (OffensEval 2020)
We present the results and main findings of SemEval-2020 Task 12 on Multilingual
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …
Offensive Language Identification in Social Media (OffensEval 2020). The task involves …
Multimodal end-to-end sparse model for emotion recognition
Existing works on multimodal affective computing tasks, such as emotion recognition,
generally adopt a two-phase pipeline, first extracting feature representations for each single …
generally adopt a two-phase pipeline, first extracting feature representations for each single …
Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …
offensive languages) is essential to provide a healthy conversation environment on the Web …
OMCD: Offensive Moroccan comments dataset
K Essefar, H Ait Baha, A El Mahdaouy… - Language Resources …, 2023 - Springer
Offensive content, such as verbal attacks, demeaning comments, or hate speech, has
become widespread on social media. Automatic detection of this content is considered an …
become widespread on social media. Automatic detection of this content is considered an …
Hate speech detection in saudi twittersphere: A deep learning approach
R Alshaalan, H Al-Khalifa - Proceedings of the fifth Arabic natural …, 2020 - aclanthology.org
With the rise of hate speech phenomena in Twittersphere, significant research efforts have
been undertaken to provide automatic solutions for detecting hate speech, varying from …
been undertaken to provide automatic solutions for detecting hate speech, varying from …
Offensive keyword extraction based on the attention mechanism of BERT and the eigenvector centrality using a graph representation
GLDP Sarracén, P Rosso - Personal and Ubiquitous Computing, 2023 - Springer
The proliferation of harmful content on social media affects a large part of the user
community. Therefore, several approaches have emerged to control this phenomenon …
community. Therefore, several approaches have emerged to control this phenomenon …
Detecting offensive language based on graph attention networks and fusion features
The pervasiveness of offensive language on social networks has caused adverse effects on
society, such as abusive behavior online. It is urgent to detect offensive language and curb …
society, such as abusive behavior online. It is urgent to detect offensive language and curb …
Weakly-supervised multi-task learning for multimodal affect recognition
Multimodal affect recognition constitutes an important aspect for enhancing interpersonal
relationships in human-computer interaction. However, relevant data is hard to come by and …
relationships in human-computer interaction. However, relevant data is hard to come by and …
Offensive language identification with multi-task learning
The widespread presence of offensive content is a major issue in social media. This has
motivated the development of computational models to identify such content in posts or …
motivated the development of computational models to identify such content in posts or …
[PDF][PDF] IIIT_DWD@ HASOC 2020: Identifying offensive content in Indo-European languages.
Human behaviour remains the same whether it is a physical or cyber world. They express
their emotions like happy, sad, angry, frustrated, bullying, and so on at both places. To …
their emotions like happy, sad, angry, frustrated, bullying, and so on at both places. To …