Papers by Manuela Sanguinetti
PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies (L18-1)
Copied to clipboard
Manuela Sanguinetti, Cristina Bosco, Alberto Lavelli, Alessandro Mazzei, Oronzo Antonelli, Fabio Tamburini
| Challenge: | Various approaches and ad hoc resources are needed to provide proper coverage of specific linguistic phenomena. |
| Approach: | They propose to annotate tweets using a well-known dependency-based annotation format . they propose to use the tweets for training NLP systems to improve their performance . |
| Outcome: | The proposed resource can be used for training of NLP systems on social media texts. |
Marking Irony Activators in a Universal Dependencies Treebank: The Case of an Italian Twitter Corpus (2020.lrec-1)
Copied to clipboard
| Challenge: | Existing annotations for irony are difficult, and the recognition of it is difficult due to its polarity. |
| Approach: | They propose a fine-grained annotation scheme centered on irony that highlights the tokens responsible for its activation and their morpho-syntactic features. |
| Outcome: | The proposed scheme highlights the tokens responsible for irony activation and their morpho-syntactic features. |
QUEEREOTYPES: A Multi-Source Italian Corpus of Stereotypes towards LGBTQIA+ Community Members (2024.lrec-main)
Copied to clipboard
Alessandra Teresa Cignarella, Manuela Sanguinetti, Simona Frenda, Andrea Marra, Cristina Bosco, Valerio Basile
| Challenge: | a dataset of social media texts addressing LGBTQIA+ individuals is presented in this paper . the dataset is based on two sources in italian: Facebook and Twitter . |
| Approach: | They describe a dataset composed of two sub-corpora from two different sources in Italian . the dataset includes social media texts regarding LGBTQIA+ individuals, behaviors, ideology and events . |
| Outcome: | The QUEEREOTYPES dataset includes social media texts regarding LGBTQIA+ individuals, behaviors, ideology and events. |
Educational Dialogue Systems for Visually Impaired Students: Introducing a Task-Oriented User-Agent Corpus (2024.lrec-main)
Copied to clipboard
Elisa Di Nuovo, Manuela Sanguinetti, Pier Felice Balestrucci, Luca Anselma, Cristian Bernareggi, Alessandro Mazzei
| Challenge: | a corpus of real-world dialogues between visually impaired users and an agent is described . the corpus is part of a larger research project aimed at developing tools for easier access to educational content for visually impaired people. |
| Approach: | They describe a corpus consisting of real-world dialogues between users and a task-oriented conversational agent . they report the results of a classification experiment on the annotated corpus and an additional experiment to assess the annotation capabilities of three large language models. |
| Outcome: | The proposed corpus is part of a larger research project aimed at improving visual aids for visually impaired users. |
An Italian Twitter Corpus of Hate Speech against Immigrants (L18-1)
Copied to clipboard
| Challenge: | a recent study has annotated 6,000 tweets for hate speech against immigrants . the annotation scheme was designed to account for the multiplicity of factors that can contribute to the definition of a hate speech notion . |
| Approach: | They describe a Twitter corpus annotated for hate speech against immigrants . they propose a scheme that includes aggressiveness, offensiveness, irony, stereotype and intensity . |
| Outcome: | The proposed annotation scheme includes aggressiveness, offensiveness, irony, stereotype, intensity and (on an experimental basis) intensity. |
Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies (2020.lrec-1)
Copied to clipboard
Manuela Sanguinetti, Cristina Bosco, Lauren Cassidy, Özlem Çetinoğlu, Alessandra Teresa Cignarella, Teresa Lynn, Ines Rehbein, Josef Ruppenhofer, Djamé Seddah, Amir Zeldes
| Challenge: | Despite the increasing number of contributions on Part-of-Speech tagging and parsing, automatic processing of user-generated content (UGC) still represents a challenging task. |
| Approach: | They propose a set of guidelines for the annotation of user-generated texts within the Universal Dependencies framework. |
| Outcome: | The proposed annotation guidelines promote cross-linguistic consistency, which has always been in the spirit of UD. |
Multilingual Irony Detection with Dependency Syntax and Neural Models (2020.coling-main)
Copied to clipboard
Alessandra Teresa Cignarella, Valerio Basile, Manuela Sanguinetti, Cristina Bosco, Paolo Rosso, Farah Benamara
| Challenge: | Several semantic and syntactic devices can be used to express irony, causing the incongruity, determine the clash and play the role of irony triggers within a text. |
| Approach: | They propose to exploit linguistic resources where syntax is annotated according to the Universal Dependencies scheme. |
| Outcome: | The proposed method exploits linguistic resources where syntax is annotated according to the Universal Dependencies scheme. |