Search Results for author: Marco Guerini

Found 33 papers, 10 papers with code

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.

Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study

no code implementations Findings (ACL) 2022 Serra Sinem Tekiroglu, Helena Bonaldi, Margherita Fanton, Marco Guerini

In this work, we present an extensive study on the use of pre-trained language models for the task of automatic Counter Narrative (CN) generation to fight online hate speech in English.

Automatic Post-Editing Language Modelling

Multilingual Counter Narrative Type Classification

1 code implementation EMNLP (ArgMining) 2021 Yi-Ling Chung, Marco Guerini, Rodrigo Agerri

The growing interest in employing counter narratives for hatred intervention brings with it a focus on dataset creation and automation strategies.

Classification

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.

Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech

1 code implementation ACL 2021 Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroglu, Marco Guerini

Undermining the impact of hateful content with informed and non-aggressive responses, called counter narratives, has emerged as a possible solution for having healthier online communities.

Language Modelling

Empowering NGOs in Countering Online Hate Messages

no code implementations6 Jul 2021 Yi-Ling Chung, Serra Sinem Tekiroglu, Sara Tonelli, Marco Guerini

In this paper, we introduce a novel ICT platform that NGO operators can use to monitor and analyze social media data, along with a counter-narrative suggestion tool.

Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech

1 code implementation Findings (ACL) 2021 Yi-Ling Chung, Serra Sinem Tekiroglu, Marco Guerini

Tackling online hatred using informed textual responses - called counter narratives - has been brought under the spotlight recently.

Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts

no code implementations COLING 2020 Vorakit Vorakitphan, Marco Guerini, Elena Cabrio, Serena Villata

As a step in the aforementioned direction, we present a methodology to extend the task of Aspect-based Sentiment Analysis (ABSA) toward the affect and emotion representation in polarized settings.

Aspect-Based Sentiment Analysis Emotion Recognition

Toward Stance-based Personas for Opinionated Dialogues

no code implementations Findings of the Association for Computational Linguistics 2020 Thomas Scialom, Serra Sinem Tekiroglu, Jacopo Staiano, Marco Guerini

In the context of chit-chat dialogues it has been shown that endowing systems with a persona profile is important to produce more coherent and meaningful conversations.

Text Generation

GePpeTto Carves Italian into a Language Model

1 code implementation29 Apr 2020 Lorenzo De Mattei, Michele Cafagna, Felice Dell'Orletta, Malvina Nissim, Marco Guerini

We provide a thorough analysis of GePpeTto's quality by means of both an automatic and a human-based evaluation.

Language Modelling Sentence Completion

Generating Counter Narratives against Online Hate Speech: Data and Strategies

no code implementations ACL 2020 Serra Sinem Tekiroglu, Yi-Ling Chung, Marco Guerini

Recently research has started focusing on avoiding undesired effects that come with content moderation, such as censorship and overblocking, when dealing with hatred online.

Text Generation

Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play

no code implementations RANLP 2019 Sourabh Majumdar, Serra Sinem Tekiroglu, Marco Guerini

End-to-end neural approaches are becoming increasingly common in conversational scenarios due to their promising performances when provided with sufficient amount of data.

FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents

1 code implementation ACL 2019 Serra Sinem Tekiroglu, Bernardo Magnini, Marco Guerini

We present a novel abstraction framework called FASTDial for designing task oriented dialogue agents, built on top of the OpenDial toolkit.

Frame

CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech

1 code implementation ACL 2019 Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, Marco Guerini

Although there is an unprecedented effort to provide adequate responses in terms of laws and policies to hate content on social media platforms, dealing with hatred online is still a tough problem.

Data Augmentation Translation

A Methodology for Evaluating Interaction Strategies of Task-Oriented Conversational Agents

no code implementations WS 2018 Marco Guerini, Sara Falcone, Bernardo Magnini

In task-oriented conversational agents, more attention has been usually devoted to assessing task effectiveness, rather than to \textit{how} the task is achieved.

Toward zero-shot Entity Recognition in Task-oriented Conversational Agents

no code implementations WS 2018 Marco Guerini, Simone Magnolini, Vevake Balaraman, Bernardo Magnini

We present a domain portable zero-shot learning approach for entity recognition in task-oriented conversational agents, which does not assume any annotated sentences at training time.

Zero-Shot Learning

Why Do Urban Legends Go Viral?

no code implementations22 Jan 2016 Marco Guerini, Carlo Strapparava

In particular we will focus on the idea that urban legends should mimic the details of news (who, where, when) to be credible, while they should be emotional and readable like a fairy tale to be catchy and memorable.

SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis

no code implementations30 Oct 2015 Lorenzo Gatti, Marco Guerini, Marco Turchi

Using this technique we have built SentiWords, a prior polarity lexicon of approximately 155, 000 words, that has both a high precision and a high coverage.

Sentiment Analysis

Echoes of Persuasion: The Effect of Euphony in Persuasive Communication

1 code implementation HLT 2015 Marco Guerini, Gözde Özbal, Carlo Strapparava

While the effect of various lexical, syntactic, semantic and stylistic features have been addressed in persuasive language from a computational point of view, the persuasive effect of phonetics has received little attention.

Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and Virality

1 code implementation16 Mar 2015 Marco Guerini, Jacopo Staiano

This article provides a comprehensive investigation on the relations between virality of news articles and the emotions they are found to evoke.

DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News

no code implementations7 May 2014 Jacopo Staiano, Marco Guerini

While many lexica annotated with words polarity are available for sentiment analysis, very few tackle the harder task of emotion analysis and are usually quite limited in coverage.

Emotion Recognition General Classification +1

Is it morally acceptable for a system to lie to persuade me?

no code implementations15 Apr 2014 Marco Guerini, Fabio Pianesi, Oliviero Stock

Given the fast rise of increasingly autonomous artificial agents and robots, a key acceptability criterion will be the possible moral implications of their actions.

Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet

no code implementations EMNLP 2013 Marco Guerini, Lorenzo Gatti, Marco Turchi

Assigning a positive or negative score to a word out of context (i. e. a word's prior polarity) is a challenging task for sentiment analysis.

General Classification Sentiment Analysis

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