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Call for Participation
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StereoQueerEval at SemEval 2027 (Task 8)
Identification of Stereotypes and Hate Speech Targeting the LGBTQIA+ Community

Registration is required to obtain data and participate in the shared task.
Please follow the instructions on the task website: 
https://stereoqueereval.github.io/how_to_participate/


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๐ŸŒˆ The StereoQueerEval Shared Task ๐ŸŒˆ
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We invite participants to take part in StereoQueerEval: a novel shared task on 
the identification of stereotypes and hate speech targeting the LGBTQIA+ 
community. The great attention to hate speech detection in the NLP community 
provides a strong foundation for expanding research on stereotyping and hate 
speech targeting LGBTQIA+ individuals across multiple languages. 
StereoQueerEval advances research in this area with a cross-lingual benchmark 
covering English, Italian, Dutch and Persian.

StereoQueerEval is organized around three subtasks:

Subtask A)
Stereotype Identification: binary detection of whether a text contains a 
stereotype targeting the LGBTQIA+ community (present/absent).

Subtask B)
Hate Speech Type Classification: multiclass classification distinguishing 
between explicit hate speech, implicit hate speech and non-hateful content.

Subtask C)
Target & LGBTQIA+ Identity Identification: recognition of the target type 
(individual vs. group) and the specific LGBTQIA+ identities targeted (L, G, B, 
T, Q, I, A, Q, NB).

Further details on the task, data, and evaluation are available at the task 
website: https://stereoqueereval.github.io/
Codabench will be up and running before the end of this month.


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Important Dates
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18 Sep 2026 Training data release EN + IT + NL (training period starts) โ†’ 
already available!
07 Oct 2026 Development data (Persian) available โ†’ already available!
10 Jan 2027 Test data available + evaluation period starts
31 Jan 2027 Evaluation period ends
Feb 2027 Paper submission due
Feb/Mar 2027 Reviewing period
Mar 2027 Notification to authors
Apr 2027 Camera-ready due
July 2027 SemEval 2027 Workshop (co-located with major *CL conference)


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Organizers
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Alessandra Teresa Cignarella, Ghent University
Marta Marchiori Manerba, University of Turin
Greta Damo, Universitรฉ Cรดte d'Azur, Inria
Marzieh Abdolmaleki, Ghent University
Debora Nozza, Bocconi University
Els Lefever, Ghent University


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