SardiStance is the first shared task for Italian on the automatic classification of stance in
tweets. It is articulated in two different settings: A) Textual Stance Detection, exploiting only …

This overview paper describes the first shared task on irony detection for the Arabic
language. The task consists of a binary classification of tweets as ironic or not using a …

In the last decade, the need to detect automatically irony to correctly recognize the sentiment
and hate speech involved in online texts increased the investigation on humorous figures of …

The Hate Speech Detection (HaSpeeDe) task is a shared task on Italian social media
(Facebook and Twitter) for the detection of hateful content, and it has been proposed for the …

We consider the distinction between intended and perceived sarcasm in the context of
textual sarcasm detection. The former occurs when an utterance is sarcastic from the …

Human communication using natural language, specially in social media, is influenced by
the use of figurative language like irony. Recently, several workshops are intended to …

This paper introduces IroSvA, the first shared task fully dedicated to identify the presence of
irony in short messages (tweets and news comments) written in three different variants of …

This paper presents the results of the HAHA task at IberLEF 2019, the second edition of the
challenge on automatic humor recognition and analysis in Spanish. The challenge consists …

Indirect speech such as sarcasm achieves a constellation of discourse goals in human
communication. While the indirectness of figurative language warrants speakers to achieve …

Abusive language is becoming a problematic issue for our society. The spread of messages
that reinforce social and cultural intolerance could have dangerous effects in victims' life …