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 …

Language models are ubiquitous in current NLP, and their multilingual capacity has recently
attracted considerable attention. However, current analyses have almost exclusively focused …

Recent scientific studies on natural language processing (NLP) report the outstanding
effectiveness observed in the use of context-dependent and task-free language …

Over the last decade industrial and academic communities have increased their focus on
sentiment analysis techniques, especially applied to tweets. State-of-the-art results have …

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 …

Irony as a literary technique is widely used in online texts such as Twitter posts. Accurate
irony detection is crucial for tasks such as effective sentiment analysis. A text's ironic intent is …

Much progress has been made in the field of sentiment analysis in the past years.
Researchers relied on textual data for this task, while only recently they have started …

Sentiment analysis is a common task to understand people's reactions online. Still, we often
need more nuanced information: is the post negative because the user is angry or because …

In this work, a methodology for applying semantic-based padding in Convolutional Neural
Networks for Natural Language Processing tasks is proposed. Semantic-based padding …