Publication date
November 2020
DOIAbstract
Trained models & code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification
Trained models & code to predict toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification
Recently, toxicity identification has become the most serious problem in online communities and soci...
The rapid rise of social media has given individuals an easy platform to publicly communicate with o...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
Building a multi headed model thats capable of detecting different types of toxicity like threats, o...
The digital landscape has blossomed thanks to the surge of online platforms, boosting the variety an...
The purpose of this thesis was to implement a Deep Learning Model to classify the toxicity of online...
Nowadays users leave numerous comments on different social networks, news portals, and forums. Some ...
Transformer-based language models are able to generate fluent text and be efficiently adapted across...
Social media provides a public and convenient platform for people to communicate. However, it is als...
Toxic conversations during software development interactions may have serious repercussions on a Fre...
With the rising surge of online toxicity, automating the identification of abusive language becomes ...
International audienceIn this paper, we propose a supervised approach for toxic comment classificati...
Social media sites and online forums have struggled with the issue of harassment and hateful speech ...
As user-generated contents thrive, so does the spread of toxic comment. Therefore, detecting toxic c...
Toxic comment classification is a core natural language processing task for combating online toxic c...
Recently, toxicity identification has become the most serious problem in online communities and soci...
The rapid rise of social media has given individuals an easy platform to publicly communicate with o...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
Building a multi headed model thats capable of detecting different types of toxicity like threats, o...
The digital landscape has blossomed thanks to the surge of online platforms, boosting the variety an...
The purpose of this thesis was to implement a Deep Learning Model to classify the toxicity of online...
Nowadays users leave numerous comments on different social networks, news portals, and forums. Some ...
Transformer-based language models are able to generate fluent text and be efficiently adapted across...
Social media provides a public and convenient platform for people to communicate. However, it is als...
Toxic conversations during software development interactions may have serious repercussions on a Fre...
With the rising surge of online toxicity, automating the identification of abusive language becomes ...
International audienceIn this paper, we propose a supervised approach for toxic comment classificati...
Social media sites and online forums have struggled with the issue of harassment and hateful speech ...
As user-generated contents thrive, so does the spread of toxic comment. Therefore, detecting toxic c...
Toxic comment classification is a core natural language processing task for combating online toxic c...
Recently, toxicity identification has become the most serious problem in online communities and soci...
The rapid rise of social media has given individuals an easy platform to publicly communicate with o...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
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