35.1291, Calls: GermEval2024 Shared Task: GerMS-Detect -- Sexism Detection in German Online News Fora

[The LINGUIST List]

LINGUIST List: Vol-35-1291. Tue Apr 23 2024. ISSN: 1069 - 4875.

Subject: 35.1291, Calls: GermEval2024 Shared Task: GerMS-Detect -- Sexism Detection in German Online News Fora

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Date: 20-Apr-2024
From: Brigitte Krenn [brigitte.krenn at ofai.at]
Subject: GermEval2024 Shared Task: GerMS-Detect -- Sexism Detection in German Online News Fora


Full Title: GermEval2024 Shared Task: GerMS-Detect -- Sexism Detection
in German Online News Fora
Short Title: GerMS-Detect

Date: 10-Sep-2024 - 10-Sep-2024
Location: Vienna, Austria
Contact Person: Brigitte Krenn
Meeting Email: brigitte.krenn at ofai.at
Web Site: https://ofai.github.io/GermEval2024-GerMS/

Linguistic Field(s): Computational Linguistics
Subject Language(s): German (deu)

Call Deadline: 25-Jun-2024

Meeting Description:

GerMS-Detect -- Sexism Detection in German Online News Fora collocated
with Konvens 2024 in Vienna is a GermEval2024 Shared Task that focuses
on sexism/misogyny detection in German online news fora. Since
sexism/misogyny in news forum comments is often present in a subtle
form that avoids outright offensiveness or curse words, there are many
texts where annotators have different opinions on whether the text
should be regarded as sexist, or which degree of sexism should be
assigned to it. This shared task therefore provides an opportunity to
learn about how to deal with diverging opinions among annotators and
how to train models on such a corpus which potentially can also inform
about how diverging the opinions might be on a new text.

The shared task is divided into two subtasks: Subtask 1 to predict a
binary label indicating the presence or absence of sexism in different
ways; Subtask 2 to predict binary soft labels, based on the different
opinions of annotators about the text and predict the distribution of
the original gradings by annotators. Each of the Subtask 1 and  2
competitions are organized into two different tracks: A closed track
in which  models can only be trained with the provided training set,
and an open track where own training data, pretrained  language
models, and whatever approaches of interest can be used.

Call for Papers:

GermEval2024 Shared Task: GerMS-Detect -- Sexism Detection in German
Online News Fora

1st CALL FOR PARTICIPATION

We are pleased to announce the GermEval Shared Task GerMS-Detect on
Sexism Detection in German Online News Fora collocated with Konvens
2024 (https://konvens-2024.univie.ac.at/).

Competition Website: https://ofai.github.io/GermEval2024-GerMS/

Important Dates:

    Trial phase: April 20 - April 29, 2024
    Development phase: May 1 - June 5, 2024
    Competition phase: June 7 - June 25, 2024
    Paper submission due: July 1, 2024
    Camera ready due: July 20, 2024
    Shared Task @KONVENS: 10 September, 2024

Task description

This shared task is about the detection of sexism/misogyny in comments
posted in (mostly) German language to the comment section of an
Austrian online newspaper. The data was originally collected for the
development of a classifier that supports human moderators in
detecting potentially sexist comments or identify comment fora with a
high rate of sexist comments. For details see the Competition Website.

Organizers

The task is organized by the Austrian Research Institute for
Artificial Intelligence (OFAI, https://www.ofai.at).

Organizing team:

    Brigitte Krenn (brigitte.krenn (AT) ofai.at)
    Johann Petrak (johann.petrak (AT) ofai.at)
    Stephanie Gross (stephanie.gross (AT) ofai.at)



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