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 2020 • Rachele Sprugnoli, Marco Passarotti, Flavio Massimiliano Cecchini, Matteo Pellegrini
This also allows us to propose the Cross-genre and Cross-time subtasks for each task, in order to evaluate the portability of NLP tools for Latin across different genres and time periods.
no code implementations • LREC 2020 • Rachele Sprugnoli, Marco Passarotti, Daniela Corbetta, Andrea Peverelli
Sentiment lexicons are essential for developing automatic sentiment analysis systems, but the resources currently available mostly cover modern languages.
Cultural Vocal Bursts Intensity Prediction Sentiment Analysis
no code implementations • CL 2019 • Rachele Sprugnoli, Sara Tonelli
However, the recognition and elaboration of events is a crucial step when dealing with historical texts Particularly in the current era of massive digitization of historical sources: Research in this domain can lead to the development of methodologies and tools that can assist historians in enhancing their work, while having an impact also on the field of Natural Language Processing.
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.
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.
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 • 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 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.
no code implementations • LREC 2016 • Tommaso Caselli, Rachele Sprugnoli, Oana Inel
This paper describes two sets of crowdsourcing experiments on temporal information annotation conducted on two languages, i. e., English and Italian.
no code implementations • LREC 2014 • Rachele Sprugnoli, Aless Lenci, ro
This paper presents the design and results of a crowdsourcing experiment on the recognition of Italian event nominals.
1 code implementation • LREC 2014 • Christian Girardi, Manuela Speranza, Rachele Sprugnoli, Sara Tonelli
In this paper we present CROMER (CROss-document Main Events and entities Recognition), a novel tool to manually annotate event and entity coreference across clusters of documents.
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.