In this paper we present the DETOXIS task, DEtection of TOxicity in comments In Spanish, which took place as part of the IberLEF 2021 Workshop on Iberian Languages Evaluation Forum at the SEPLN 2021 Conference. We describe the NewsCom-TOX dataset used for training and testing the systems, the metrics applied for their evaluation and the results obtained by the submitted approaches. We also provide an error analysis of the results of these systems.En este artículo se presenta la tarea DETOXIS, DEtección de TOxicidad en comentarios en español, que tuvo lugar en el Iberian Languages Evaluation Forum workshop (IberLEF 2021) en el congreso de la SEPLN 2021. Se describe el corpus NewsCom-TOX utilizado para entrenar y evaluar los sistemas, las mét...
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...
International audienceThe spectacular expansion of the Internet has led to the development of a new ...
In this paper we present the DETOXIS task, DEtection of TOxicity in comments In Spanish, which took ...
[EN] This paper describes our participation in the DEtection of TOXicity in comments In Spanish (DET...
[EN] IberLEF is a comparative evaluation campaign for Natural Language Processing Systems in Spanish...
The goal of this research is to provide linguists with visualisations for analysing the results of t...
This paper is an overview of MeOffendES 2021, organized at IberLEF 2021 and co-located with the 37th...
Added toxicity in the context of translation refers to the fact of producing a translation output wi...
Social networks allow us to communicate with people around the world. However, some users usually ta...
In recent years, the widespread use of social media has led to an increase in the generation of toxi...
Hate speech and toxic comments are a common concern of social media platform users. Although these c...
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
The main goal of this work is to provide the cognitive computing community with valuable resources t...
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...
International audienceThe spectacular expansion of the Internet has led to the development of a new ...
In this paper we present the DETOXIS task, DEtection of TOxicity in comments In Spanish, which took ...
[EN] This paper describes our participation in the DEtection of TOXicity in comments In Spanish (DET...
[EN] IberLEF is a comparative evaluation campaign for Natural Language Processing Systems in Spanish...
The goal of this research is to provide linguists with visualisations for analysing the results of t...
This paper is an overview of MeOffendES 2021, organized at IberLEF 2021 and co-located with the 37th...
Added toxicity in the context of translation refers to the fact of producing a translation output wi...
Social networks allow us to communicate with people around the world. However, some users usually ta...
In recent years, the widespread use of social media has led to an increase in the generation of toxi...
Hate speech and toxic comments are a common concern of social media platform users. Although these c...
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona...
Due to the development in e-commerce, social media channels like twitter and Facebook flood of Infor...
The main goal of this work is to provide the cognitive computing community with valuable resources t...
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...
International audienceThe spectacular expansion of the Internet has led to the development of a new ...