GermEval Task 2018 - Shared Task on the Identification of Offensive Language

Країна: Австрія

Місто: Vienna

Тези до: 07.08.2018

Дати: 21.09.18 — 21.09.18

Е-мейл Оргкомітету: iggsa2018@googlegroups.com

Організатори: Interest Group on German Sentiment Analysis

 

Offensive Language is commonly defined as hurtful, derogatory or obscene comments made by one person to another person. This type of language can increasingly be found on the web. As a consequence many operators of social media websites no longer manage to manually monitor user posts. Therefore, there is a pressing demand for methods to automatically identify suspicious posts.

This pilot shared task is to initiate and foster research on the identification of offensive content in German language microposts. Offensive comments are to be detected from a set of German tweets. We focus on Twitter since tweets can be regarded as a prototypical type of micropost.

The workshop discussing this year’s edition of this shared task is planned to be held in conjunction with the Conference on Natural Language Processing (KONVENS ) in Vienna in September 2018.

Offensive Language is commonly defined as hurtful, derogatory or obscene comments made by one person to another person. This type of language can increasingly be found on the web. As a consequence many operators of social media websites no longer manage to manually monitor user posts. Therefore, there is a pressing demand for methods to automatically identify suspicious posts.

This pilot shared task is to initiate and foster research on the identification of offensive content in German language microposts. Offensive comments are to be detected from a set of German tweets. We focus on Twitter since tweets can be regarded as a prototypical type of micropost.

The workshop discussing this year’s edition of this shared task is planned to be held in conjunction with the Conference on Natural Language Processing (KONVENS ) in Vienna in September 2018.

Веб-сторінка конференції: https://projects.fzai.h-da.de/iggsa/