24 citations · 35 across the 4 of their papers we have counts for
4 papers
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…
On Coreferring Text-extracted Event Descriptions with the aid of Ontological Reasoning
Stefano Borgo, Loris Bozzato, Alessio Palmero Aprosio +2
Systems for automatic extraction of semantic information about events from large textual resources are now available: these tools are capable to generate RDF datasets about text ex…
Italy goes to Stanford: a collection of CoreNLP modules for Italian
Alessio Palmero Aprosio, Giovanni Moretti
In this we paper present Tint, an easy-to-use set of fast, accurate and extendable Natural Language Processing modules for Italian. It is based on Stanford CoreNLP and is freely av…