Search Results for author: Stefano Menini

Found 16 papers, 3 papers with code

FrameNet-like Annotation of Olfactory Information in Texts

no code implementations EMNLP (LaTeCHCLfL, CLFL, LaTeCH) 2021 Sara Tonelli, Stefano Menini

Although olfactory references play a crucial role in our cultural memory, only few works in NLP have tried to capture them from a computational perspective.

Natural Language Understanding

Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement

1 code implementation EMNLP 2021 Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, Marco Guerini, Sara Tonelli

Since state-of-the-art approaches to offensive language detection rely on supervised learning, it is crucial to quickly adapt them to the continuously evolving scenario of social media.

Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement

no code implementations28 Sep 2021 Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, Marco Guerini, Sara Tonelli

Since state-of-the-art approaches to offensive language detection rely on supervised learning, it is crucial to quickly adapt them to the continuously evolving scenario of social media.

Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection

1 code implementation27 Mar 2021 Stefano Menini, Alessio Palmero Aprosio, Sara Tonelli

We first re-annotate part of a widely used dataset for abusive language detection in English in two conditions, i. e. with and without context.

Abusive Language General Classification

Creating a Multimodal Dataset of Images and Text to Study Abusive Language

no code implementations5 May 2020 Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli

We find that users judge the same images in different ways, although the presence of a person in the picture increases the probability to get an offensive comment.

Abusive Language

A System to Monitor Cyberbullying based on Message Classification and Social Network Analysis

no code implementations WS 2019 Stefano Menini, Giovanni Moretti, Michele Corazza, Elena Cabrio, Sara Tonelli, Serena Villata

Social media platforms like Twitter and Instagram face a surge in cyberbullying phenomena against young users and need to develop scalable computational methods to limit the negative consequences of this kind of abuse.

Abusive Language General Classification

Creating a WhatsApp Dataset to Study Pre-teen Cyberbullying

no code implementations WS 2018 Rachele Sprugnoli, Stefano Menini, Sara Tonelli, Filippo Oncini, Enrico Piras

Although WhatsApp is used by teenagers as one major channel of cyberbullying, such interactions remain invisible due to the app privacy policies that do not allow ex-post data collection.

Topic-Based Agreement and Disagreement in US Electoral Manifestos

no code implementations EMNLP 2017 Stefano Menini, Federico Nanni, Simone Paolo Ponzetto, Sara Tonelli

We present a topic-based analysis of agreement and disagreement in political manifestos, which relies on a new method for topic detection based on key concept clustering.

RAMBLE ON: Tracing Movements of Popular Historical Figures

no code implementations EACL 2017 Stefano Menini, Rachele Sprugnoli, Giovanni Moretti, Enrico Bignotti, Sara Tonelli, Bruno Lepri

We present RAMBLE ON, an application integrating a pipeline for frame-based information extraction and an interface to track and display movement trajectories.

Frame

Agreement and Disagreement: Comparison of Points of View in the Political Domain

no code implementations COLING 2016 Stefano Menini, Sara Tonelli

The automated comparison of points of view between two politicians is a very challenging task, due not only to the lack of annotated resources, but also to the different dimensions participating to the definition of agreement and disagreement.

Sentiment Analysis

``Who was Pietro Badoglio?'' Towards a QA system for Italian History

no code implementations LREC 2016 Stefano Menini, Rachele Sprugnoli, Antonio Uva

This paper presents QUANDHO (QUestion ANswering Data for italian HistOry), an Italian question answering dataset created to cover a specific domain, i. e. the history of Italy in the first half of the XX century.

Question Answering

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