no code implementations • COLING (LAW) 2020 • Manuela Sanguinetti, Alessandro Mazzei, Viviana Patti, Marco Scalerandi, Dario Mana, Rossana Simeoni
This paper describes a novel annotation scheme specifically designed for a customer-service context where written interactions take place between a given user and the chatbot of an Italian telecommunication company.
no code implementations • NAACL (WOAH) 2022 • Pierpaolo Goffredo, Valerio Basile, Biancamaria Cepollaro, Viviana Patti
This work describes the process of creating a corpus of Twitter conversations annotated for the presence of counterspeech in response to toxic speech related to axes of discrimination linked to sexism, racism and homophobia.
no code implementations • EMNLP (ALW) 2020 • Anna Koufakou, Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti
The detection of abusive or offensive remarks in social texts has received significant attention in research.
no code implementations • LREC 2022 • Valerio Basile, Cristina Bosco, Michael Fell, Viviana Patti, Rossella Varvara
The European Language Grid enables researchers and practitioners to easily distribute and use NLP resources and models, such as corpora and classifiers.
no code implementations • 31 Jul 2023 • Marco Antonio Stranisci, Eleonora Bernasconi, Viviana Patti, Stefano Ferilli, Miguel Ceriani, Rossana Damiano
In this paper we present The World Literature Knowledge Graph, a semantic resource containing 194, 346 writers and 965, 210 works, specifically designed for exploring facts about literary works and authors from different parts of the world.
1 code implementation • 15 Jun 2023 • Marco Antonio Stranisci, Rossana Damiano, Enrico Mensa, Viviana Patti, Daniele Radicioni, Tommaso Caselli
The corpus, which includes 20 Wikipedia biographies, was compared with five existing corpora to train a model for the biographical event detection task.
no code implementations • 21 Dec 2022 • Marco Antonio Stranisci, Giuseppe Spillo, Cataldo Musto, Viviana Patti, Rossana Damiano
Digital media have enabled the access to unprecedented literary knowledge.
no code implementations • SALLD (LREC) 2022 • Marco A. Stranisci, Simona Frenda, Mirko Lai, Oscar Araque, Alessandra T. Cignarella, Valerio Basile, Viviana Patti, Cristina Bosco
The paper is structured as follows.
no code implementations • LREC 2022 • Marco Antonio Stranisci, Simona Frenda, Eleonora Ceccaldi, Valerio Basile, Rossana Damiano, Viviana Patti
Despite the large number of computational resources for emotion recognition, there is a lack of data sets relying on appraisal models.
no code implementations • 30 Jun 2021 • Sohail Akhtar, Valerio Basile, Viviana Patti
Therefore, we need novel approaches to model conflicting perspectives and opinions coming from people with different personal and demographic backgrounds.
1 code implementation • 11 Jan 2021 • Antonio Lieto, Gian Luca Pozzato, Stefano Zoia, Viviana Patti, Rossana Damiano
We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an explainable system for emotion attribution and recommendation.
1 code implementation • 11 Nov 2020 • 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.
1 code implementation • COLING (PEOPLES) 2020 • 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, where authors are labelled with personality traits.
1 code implementation • 29 Jul 2020 • Mirko Lai, Viviana Patti, Giancarlo Ruffo, Paolo Rosso
Interest has grown around the classification of stance that users assume within online debates in recent years.
no code implementations • LREC 2020 • Anna Koufakou, Valerio Basile, Viviana Patti
This paper describes our participation to the TRAC-2 Shared Tasks on Aggression Identification.
no code implementations • LREC 2020 • Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti
In this study, we explore the phenomenon of swearing in Twitter conversations, taking the possibility of predicting the abusiveness of a swear word in a tweet context as the main investigation perspective.
no code implementations • WS 2019 • Com, Gloria ini, Viviana Patti
The paper proposes an investigation on the role of populist themes and rhetoric in an Italian Twitter corpus of hate speech against immigrants.
no code implementations • ACL 2019 • Endang Wahyu Pamungkas, Viviana Patti
This makes abusive language detection a domain-dependent task, and building a robust system to detect general abusive content a first challenge.
no code implementations • SEMEVAL 2019 • Valerio Basile, Cristina Bosco, Elisabetta Fersini, Debora Nozza, Viviana Patti, Francisco Manuel Rangel Pardo, Paolo Rosso, Manuela Sanguinetti
The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and women in Spanish and English messages extracted from Twitter.
1 code implementation • 7 Jan 2019 • Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti
On this line, a new shared task has been proposed at SemEval-2017 (Task 8, SubTask A), which is focused on rumour stance classification in English tweets.
no code implementations • SEMEVAL 2018 • Delia Iraz{\'u} Hern{\'a}ndez Far{\'\i}as, Viviana Patti, Paolo Rosso
In this paper we describe the system used by the ValenTO team in the shared task on Irony Detection in English Tweets at SemEval 2018.
no code implementations • SEMEVAL 2018 • Endang Wahyu Pamungkas, Viviana Patti
This paper describes the participation of the {\#}NonDicevoSulSerio team at SemEval2018-Task3, which focused on Irony Detection in English Tweets and was articulated in two tasks addressing the identification of irony at different levels of granularity.
no code implementations • SEMEVAL 2018 • Francesco Barbieri, Jose Camacho-Collados, Francesco Ronzano, Luis Espinosa-Anke, Miguel Ballesteros, Valerio Basile, Viviana Patti, Horacio Saggion
This paper describes the results of the first Shared Task on Multilingual Emoji Prediction, organized as part of SemEval 2018.
no code implementations • EACL 2017 • Jihen Karoui, Farah Benamara, V{\'e}ronique Moriceau, Viviana Patti, Cristina Bosco, Nathalie Aussenac-Gilles
This paper provides a linguistic and pragmatic analysis of the phenomenon of irony in order to represent how Twitter{'}s users exploit irony devices within their communication strategies for generating textual contents.
no code implementations • 26 Feb 2017 • Mirko Lai, Delia Irazú Hernández Farías, Viviana Patti, Paolo Rosso
Stance detection, the task of identifying the speaker's opinion towards a particular target, has attracted the attention of researchers.
no code implementations • LREC 2016 • Marco Stranisci, Cristina Bosco, Delia Iraz{\'u} Hern{\'a}ndez Far{\'\i}as, Viviana Patti
In this paper we present the TWitterBuonaScuola corpus (TW-BS), a novel Italian linguistic resource for Sentiment Analysis, developed with the main aim of analyzing the online debate on the controversial Italian political reform {``}Buona Scuola{''} (Good school), aimed at reorganizing the national educational and training systems.
no code implementations • LREC 2016 • Cristina Bosco, Mirko Lai, Viviana Patti, Daniela Virone
The annotation process is presented and the disagreement discussed, in particular, in the perspective of figurative language use and in that of the semantic oriented annotation, which are open challenges for NLP systems.