Welcome to SemEval 2023 Task 10: Explainable Detection of Online Sexism (EDOS)
* Task Description *
This task supports the development of English-language models for sexism detection that are more accurate as well as explainable, with fine-grained classifications for sexist content from Gab and Reddit. The task contains three hierarchical subtasks:
TASK A - Binary Sexism Detection: a two-class (or binary) classification where systems have to predict whether a post is sexist or not sexist.
TASK B - Category of Sexism: for posts which are sexist, a four-class classification where systems have to predict one of four categories: (1) threats, (2) derogation, (3) animosity, (4) prejudiced discussions.
TASK C - Fine-grained Vector of Sexism: for posts which are sexist, an 11-class classification where systems have to predict one of 11 fine-grained vectors.
* Important dates *
Training data ready: 01 September 2022
Task A evaluation start: 10 January 2023
Task A evaluation end: 19 January 2023
Task B & C evaluation start: 20 January 2023
Task B & C evaluation end: 31 January 2023
System paper submission due: February 2023
Notification to authors: March 2023
Camera ready due: April 2023
SemEval workshop Summer 2023 (co-located with a major NLP conference)
All deadlines are 23:59 UTC-0.
* Important Links *
Our CodaLab competition is hosted at: https://codalab.lisn.upsaclay.fr/competitions/7124
Join our mailing list at: https://groups.google.com/g/sexism-detection-semeval2023
* Organizers *
Hannah Rose Kirk (University of Oxford, Rewire)
Wenjie Yin (Queen Mary University of London, Rewire)
Paul Röttger (University of Oxford, Rewire)
Bertie Vidgen (Rewire)