no code implementations • LDL (ACL) 2022 • Margherita Fantoli, Marco Passarotti, Francesco Mambrini, Giovanni Moretti, Paolo Ruffolo
This paper describes the process of interlinking the 130 Classical Latin texts provided by an annotated corpus developed at the LASLA laboratory with the LiLa Knowledge Base, which makes linguistic resources for Latin interoperable by following the principles of the Linked Data paradigm and making reference to classes and properties of widely adopted ontologies to model the relevant information.
no code implementations • LT4HALA (LREC) 2022 • Rachele Sprugnoli, Marco Passarotti, Flavio Massimiliano Cecchini, Margherita Fantoli, Giovanni Moretti
This paper describes the organization and the results of the second edition of EvaLatin, the campaign for the evaluation of Natural Language Processing tools for Latin.
no code implementations • LREC 2022 • Francesco Mambrini, Marco Passarotti, Giovanni Moretti, Matteo Pellegrini
Although the Universal Dependencies initiative today allows for cross-linguistically consistent annotation of morphology and syntax in treebanks for several languages, syntactically annotated corpora are not yet interoperable with many lexical resources that describe properties of the words that occur therein.
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.
no code implementations • EACL 2017 • Rachele Sprugnoli, Tommaso Caselli, Sara Tonelli, Giovanni Moretti
This paper presents a new resource, called Content Types Dataset, to promote the analysis of texts as a composition of units with specific semantic and functional roles.
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.
1 code implementation • 20 Sep 2016 • 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.
no code implementations • LREC 2016 • Tommaso Caselli, Giovanni Moretti, Rachele Sprugnoli, Sara Tonelli, Damien Lanfrey, Donatella Solda Kutzmann
In this paper we present PIERINO (PIattaforma per l{'}Estrazione e il Recupero di INformazione Online), a system that was implemented in collaboration with the Italian Ministry of Education, University and Research to analyse the citizens{'} comments given in {\#}labuonascuola survey.
no code implementations • LREC 2012 • Valentina Bartalesi Lenzi, Giovanni Moretti, Rachele Sprugnoli
Further, the tool has a number of features which make it an easy-to-use tool for many types of annotations.
no code implementations • LREC 2012 • Marcello Federico, Sebastian St{\"u}ker, Luisa Bentivogli, Michael Paul, Mauro Cettolo, Teresa Herrmann, Jan Niehues, Giovanni Moretti
We report here on the eighth evaluation campaign organized in 2011 by the IWSLT workshop series.