We invite you to participate in the shared task on Explainability of Cross-lingual Emotion Detection (EXALT), organized as part of WASSA 2024 at ACL 2024. The goal of this task is two-fold: developing highly performant models for cross-lingual emotion detection while also encouraging model explainability and interpretability.

**Task Description**

You can participate in three different tracks:

* Track 1: Cross-Lingual Emotion Detection, which involves emotion classification with 5 labels with transfer from English to a multi-lingual test set that also includes French, Spanish, Dutch and Russian tweets. * Track 2: Trigger Word detection (binary), a task where participants have to identify which words in a text are most essential for expressing emotion. For this track, we treat trigger word detection as a binary classification task. * Track 3: Trigger Word detection (numerical), a task where participants have to identify which words in a text are most essential for expressing emotion. For this track, participants can provide numerical importance scores for each individual word.

For more information, please refer to the web page:

https://lt3.ugent.be/exalt/

The data is available through: https://codalab.lisn.upsaclay.fr/competitions/17730https://codalab.lisn.upsaclay.fr/competitions/17730#learn_the_details-overview

**Important Dates**

* 15 February, 2024: first call for participation. Training and validation data released, CodaLab opens for team registrations. * 13 May, 2024: Evaluation period/phase begins (= test data released) * 15 May, 2024: Evaluation period/phase ends (= system submission deadline) * 17 May, 2024: Announcement of final results * 22 May, 2024: Submission of system description papers for review (we encourage participants to share models, code, fact sheets, extra data, etc. with the community through github or other repositories on paper publication.) * 22 June, 2024: Notification of Acceptance * 01 July, 2024: Camera-ready deadline * 15-16 August, 2024: Presentations of the systems at the WASSA 2024 workshop (Bangkok, Thailand)

**Task Organizers**

Aaron Maladry https://lt3.ugent.be/people/aaron-maladry/LT3, Ghent University

Pranaydeep Singh https://lt3.ugent.be/people/pranaydeep-singh/LT3, Ghent University

Els Lefever https://lt3.ugent.be/people/els-lefever/LT3, Ghent University

**Contact**

You can contact all organizers of the shared task at exalt-wassa2024@googlegroups.commailto:exalt-wassa2024@googlegroups.com