Manuela Sanguinetti — accepted AI-conference papers

2024

Educational Dialogue Systems for Visually Impaired Students: Introducing a Task-Oriented User-Agent Corpus

Elisa Di Nuovo, Manuela Sanguinetti, Pier Felice Balestrucci, Luca Anselma, Cristian Bernareggi, Alessandro Mazzei

COLING 2024main

This paper describes a corpus consisting of real-world dialogues in English between users and a task-oriented conversational agent, with interactions revolving around the description of finite state automata. The creation of this corpus is part of a larger research project aimed at developing tools…

Cited by 3 Source ↗PDF ↗Scholar ↗

2024

QUEEREOTYPES: A Multi-Source Italian Corpus of Stereotypes towards LGBTQIA+ Community Members

Alessandra Teresa Cignarella, Manuela Sanguinetti, Simona Frenda, Andrea Marra, Cristina Bosco, Valerio Basile

COLING 2024main

The paper describes a dataset composed of two sub-corpora from two different sources in Italian. The QUEEREOTYPES corpus includes social media texts regarding LGBTQIA+ individuals, behaviors, ideology and events. The texts were collected from Facebook and Twitter in 2018 and were annotated for the p…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2020

Multilingual Irony Detection with Dependency Syntax and Neural Models

Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, Cristina Bosco, Paolo Rosso, Farah Benamara

COLING 2020main

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, Spanish, French and Italian). It focuses on the contribution from syntactic knowledge, exploiting linguistic resources where s…

Cited by 26 Source ↗PDF ↗code ↗Scholar ↗