Antonio Pascucci

Antonio Pascucci
University of Naples "L'Orientale" | IUO · Department of Linguistics

About

21
Publications
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Introduction
Antonio is research assistant at L'Orientale University of Naples. He is also a member of the UNIOR NLP Research Group. Furthermore, he is a member of the COST Action 17124 "Digital Forensics. Evidence Analysis via Intelligent Systems and Practices". His research interests focus on Computational Stylometry and NLP with special attention to hate-speech detection on social media.

Publications

Publications (21)
Chapter
Computational Stylometry develops techniques that allow scholars to find out information about authors of texts by means of an automatic stylistic analysis. Indeed, each author’s style is unique, and no two authors are characterized by the same set of stylistic features. Several scholars focus on the analysis of different stylistic features and spe...
Experiment Findings
https://uniornlp.carto.com/builder/04f2cca9-08cd-4b9f-90cd-79fc0d93af42/embed A first map with preliminary results on alerts concerning illegal fires posted on Twitter between 2013-2020. This map was built by our research group on a model that is able to discriminate between alert and no-alert tweets on the basis of an annotated subsection of UNI...
Conference Paper
Full-text available
In this paper, we describe UniOr ExpSys team participation in TRAC-2 (Trolling, Aggression and Cyberbullying) shared task, a workshop organized as part of LREC 2020. TRAC-2 shared task is organized in two sub-tasks: Aggression Identification (a 3-way classification between "Overtly Aggressive", "Covertly Aggressive" and "Non-aggressive" text data)...
Conference Paper
Full-text available
In this paper, we present a web service platform for disinformation detection in hotel reviews written in English. The platform relies on a hybrid approach of computational stylometry techniques, machine learning and linguistic rules written using COGITO, Expert System Corp.'s semantic intelligence software thanks to which it is possible to analyze...
Conference Paper
In this paper, we describe a Telegram bot, Mago della Ghigliottina (Ghigliottina Wizard), able to solve La Ghigliottina game (The Guillotine), the final game of the Italian TV quiz show L'Eredità. Our system relies on linguistic resources and artificial intelligence and achieves better results than human players (and competitors of L'Eredità too)....
Preprint
Full-text available
In this paper, we describe UniOr ExpSys team participation in TRAC-2 (Trolling, Aggression and Cyberbullying) shared task, a workshop organized as part of LREC 2020. TRAC-2 shared task is organized in two sub-tasks: Aggression Identification (a 3-way classification between "Overtly Aggressive", "Covertly Aggressive" and "Non-aggressive" text data)...
Preprint
Full-text available
In this paper, we present a web service platform for disinformation detection in hotel reviews written in English. The platform relies on a hybrid approach of computational stylometry techniques, machine learning and linguistic rules written using COGITO , Expert System Corp.'s semantic intelligence software thanks to which it is possible to analyz...
Preprint
Full-text available
In this paper, we describe a Telegram bot, Mago della Ghigliottina (Ghigliottina Wizard), able to solve La Ghigliottina game (The Guillotine), the final game of the Italian TV quiz show L'Eredità. Our system relies on linguistic resources and artificial intelligence and achieves better results than human players (and competitors of L'Eredità too)....
Chapter
This paper describes Il mago della Ghigliottina, a bot which took part in the Ghigliottin-AI task of the Evalita 2020 evaluation campaign. The aim is to build a system able to solve the TV game “La Ghigliottina”. Our system has already participated in the Evalita 2018 task NLP4FUN. Compared to that occasion, it improved its accuracy from 61% to 68....
Chapter
Evaluating Artificial Players for the Language Game “La Ghigliottina” (Ghigliottin-AI) task is one of the tasks organized in the context of the 2020 EVALITA edition, a periodic evaluation campaign of Natural Language Processing (NLP) and speech tools for the Italian language. Ghigliottin-AI participants are asked to build an artificial player able...
Chapter
This paper presents the results of research carried out on the UNIOR Eye corpus, a corpus which has been built by downloading tweets related to environmental crimes. The corpus is made up of 228,412 tweets organized into four different subsections, each one concerning a specific environmental crime. For the current study we focused on the subsectio...
Conference Paper
Full-text available
In this paper, we show the results of a stylometric analysis conducted on Paul McCartney's interview transcriptions using three different approaches in order to detect differences and similarities in his speeches before and after 9th November 1966, the date of his supposed death. Our research is based on the Let IT Corpus, a corpus of Paul McCartne...
Experiment Findings
Conference Paper
Full-text available
The aim of this paper is to show the importance of Computational Stylometry (CS) and Machine Learning (ML) support in author's gender and age detection in cyberbullying texts. We developed a cyberbullying detection platform and we show the results of performances in terms of Precision, Recall and F-Measure for gender and age detection in cyberbully...
Experiment Findings
We built a corpus composed by three thousand three hundred-three documents from three different typologies of texts (one thousand one hundred-one documents for each category): reliable texts (we called “green texts”), semi-reliable texts (we called “yellow texts”) and unreliable texts (we called “red texts”). “Green texts” are from a medical online...
Presentation
Full-text available
Con questo contributo mostriamo come la stilometria computazionale può essere utile per individuare genere ed età dell'autore di un testo contenente cyberbullismo, grazie alla sinergia con l'intelligenza artificiale e ad un approccio basato su regole. Si riportano i risultati di una sperimentazione compiuta in occasione della manifestazione Futuro...
Article
Full-text available
The aim of this paper is to show the importance of Computational Stylometry (CS) and Machine Learning (ML) support in author's gender and age detection in cyberbullying texts. We developed a cyberbullying detection platform and we show the results of performances in terms of Precision, Recall and F-Measure for gender and age detection in cyberbully...
Conference Paper
Full-text available
The paper describes UNIOR4NLP a system developed to solve "La Ghigliottina" game which took part in the NLP4FUN task of the Evalita 2018 evaluation campaign. The system is the best performing one in the competition and achieves better results than human players.

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Projects

Projects (10)
Project
Innovative technologies for the treatment of heterogeneous and incomplete information sources and their integration in the monitoring processes of the environmental criticalities of anthropic origins, with particular reference to the problems of the abusive waste spills.
Project
The aim is to detect differences and similarities in Paul McCartney's trancripted interviews through stylometric analysis.