HateEval 2019 Task 5

Title: Multilingual detection of hate speech against immigrants and women in Twitter (hatEval)

Scope: Twitter

Language: English and Spanish

Tasks

TASK A - Hate Speech Detection against Immigrants and Women: a two-class (or binary) classification where systems have to predict whether a tweet in English or in Spanish with a given target (women or immigrants) is hateful or not hateful.

TASK B - Aggressive behavior and Target Classification: where systems are asked first to classify hateful tweets for English and Spanish (e.g., tweets where Hate Speech against women or immigrants has been identified) as aggressive or not aggressive, and second to identify the target harassed as individual or generic (i.e. single human or group).

Important dates
the important date for us is January 10 2019: Evaluation begins

January 20 2019: Evaluation ends
February 05 2019: Results are notified to participants
February 28 2019: System and Task description paper submission due
March 14 2019: Paper reviews due
April 06 2019: Author notifications
April 20 2019: Camera ready submissions due
Summer 2019: SemEval 2019

Important Questions

What type of model(s) are we using?

What features are we using?

Are there any classifier combination, if so how?

Are any external resources (unlabeled data, embeddings, dictionaries, ...) using?

Any unique method/trick?

Notes In this repository we are going to upload all data files and share all codes that we develope.
Also we upload the papers or link of the websites that we think we can use during the development phase.

Useful Links
The world's largest structured repository of regionalized, multilingual hate speech