27 citations · 52 across the 4 of their papers we have counts for
7 papers
APPReddit: a Corpus of Reddit Posts Annotated for Appraisal
Marco Antonio Stranisci, Simona Frenda, Eleonora Ceccaldi +3
Despite the large number of computational resources for emotion recognition, there is a lack of data sets relying on appraisal models. According to Appraisal theories, emotions are…
Whose Opinions Matter? Perspective-aware Models to Identify Opinions of Hate Speech Victims in Abusive Language Detection
Sohail Akhtar, Valerio Basile, Viviana Patti
Social media platforms provide users the freedom of expression and a medium to exchange information and express diverse opinions. Unfortunately, this has also resulted in the growt…
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classification
Antonio Lieto, Gian Luca Pozzato, Stefano Zoia +2
We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an explainable system for emotion attribution and recommendation. This system relies on a recently introduced common…
Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality
Elisa Bassignana, Malvina Nissim, Viviana Patti
As a contribution to personality detection in languages other than English, we rely on distant supervision to create Personal-ITY, a novel corpus of YouTube comments in Italian, wh…
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian
Elisa Bassignana, Malvina Nissim, Viviana Patti
We present a novel corpus for personality prediction in Italian, containing a larger number of authors and a different genre compared to previously available resources. The corpus…
#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection
Mirko Lai, Viviana Patti, Giancarlo Ruffo +1
Interest has grown around the classification of stance that users assume within online debates in recent years. Stance has been usually addressed by considering users posts in isol…