67 citations · 123 across the 8 of their papers we have counts for
10 papers
SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
Elisa Leonardelli, Alexandra Uma, Gavin Abercrombie +6
NLP datasets annotated with human judgments are rife with disagreements between the judges. This is especially true for tasks depending on subjective judgments such as sentiment an…
O-Dang! The Ontology of Dangerous Speech Messages
Marco A. Stranisci, Simona Frenda, Mirko Lai +5
Inside the NLP community there is a considerable amount of language resources created, annotated and released every day with the aim of studying specific linguistic phenomena. Desp…
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…
Local Multi-Head Channel Self-Attention for Facial Expression Recognition
Roberto Pecoraro, Valerio Basile, Viviana Bono +1
Since the Transformer architecture was introduced in 2017 there has been many attempts to bring the self-attention paradigm in the field of computer vision. In this paper we propos…
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
Valerio Basile, Federico Cabitza, Andrea Campagner +1
Most Artificial Intelligence applications are based on supervised machine learning (ML), which ultimately grounds on manually annotated data. The annotation process is often perfor…
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…
Multilingual Irony Detection with Dependency Syntax and Neural Models
Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti +3
This paper presents an in-depth investigation of the effectiveness of dependency-based syntactic features on the irony detection task in a multilingual perspective (English, Spanis…
HateBERT: Retraining BERT for Abusive Language Detection in English
Tommaso Caselli, Valerio Basile, Jelena Mitrović +1
In this paper, we introduce HateBERT, a re-trained BERT model for abusive language detection in English. The model was trained on RAL-E, a large-scale dataset of Reddit comments in…
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure
Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti
Analysing how people react to rumours associated with news in social media is an important task to prevent the spreading of misinformation, which is nowadays widely recognized as a…
Empirical Analysis of Foundational Distinctions in Linked Open Data
Luigi Asprino, Valerio Basile, Paolo Ciancarini +1
The Web and its Semantic extension (i.e. Linked Open Data) contain open global-scale knowledge and make it available to potentially intelligent machines that want to benefit from i…