51 citations · 73 across the 7 of their papers we have counts for
8 papers
Argument Structure Prediction in Online Conversations: A Comparative Study of Modeling Paradigms and Task Architectures
Siddharth Bhargava, Sara Tonelli, Patricia Martín-Rodilla +1
Argument structure prediction (ASP) constructs complete argument structures from discourse by identifying argumentative units and their relations. While recent work has explored di…
Designing and Analysing Argument Mining Pipelines: Towards a Comprehensive Assessment
Siddharth Bhargava, Sara Tonelli, Patricia Martín-Rodilla
Argument Mining (AM) transforms natural language into its underlying argument structures. This transformation is typically realized through a sequence of AM tasks that form an end-…
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement
Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio +2
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 m…
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus
Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli +1
The development of automated approaches to linguistic acceptability has been greatly fostered by the availability of the English CoLA corpus, which has also been included in the wi…
Empowering NGOs in Countering Online Hate Messages
Yi-Ling Chung, Serra Sinem Tekiroglu, Sara Tonelli +1
Studies on online hate speech have mostly focused on the automated detection of harmful messages. Little attention has been devoted so far to the development of effective strategie…
Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection
Stefano Menini, Alessio Palmero Aprosio, Sara Tonelli
The datasets most widely used for abusive language detection contain lists of messages, usually tweets, that have been manually judged as abusive or not by one or more annotators,…
Creating a Multimodal Dataset of Images and Text to Study Abusive Language
Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli
In order to study online hate speech, the availability of datasets containing the linguistic phenomena of interest are of crucial importance. However, when it comes to specific tar…
Following the footsteps of giants: Modeling the mobility of historically notable individuals using Wikipedia
Lorenzo Lucchini, Sara Tonelli, Bruno Lepri
The steady growth of digitized historical information is continuously stimulating new different approaches to the fields of Digital Humanities and Computational Social Science. In…