The SIMPATICO project (SIMplifying the interaction with Public Administration Through Information technology for Citizens and Companies) is a Horizon2020 research and innovation action (RIA) whose goal is to improve the experience of citizens and companies in their daily interactions with the public administration by providing a personalized delivery of e-services based on advanced cognitive system technologies.
The goal will be achieved through a solution based on the interplay of language processing, machine learning and the wisdom of the crowd (represented by citizens, business organizations and civil servants) to change for the better the way citizens interact with the PA. SIMPATICO will deliver personalized services that are much more understandable, efficient and effective, thus increasing business competitiveness and citizen inclusion.
The project is coordinated by Fondazione Bruno Kessler.
Duration:
3 years
Contacts:
Sara Tonelli, satonelli [at] fbk.eu
Partners:
The SIMPATICO consortium counts on a highly competent international team consisting of an internationally well recognized research institute (FBK), two prestigious universities (University of Deusto and University of Sheffield), a large company (Engineering – Ingegneria Informatica), three innovative SMEs (Hi-Hiberia, Sparta Digital, Business Engineering SRL) and three public administrations (Trento Municipality, Xunta de Galicia, Sheffield City Council), for a total of ten organizations from three countries.
Funding:
Horizon 2020 Euro-6 -2015
Unit role:
The role of our group will mainly be the development of a text profiling and adaptation language for Italian, in close collaboration with the Trento municipality. We will develop and release annotated data and software to understand what dimensions of a text are hardly readable for different user profiles, and to simplify them accordingly.
Publications:
Carolina Scarton, Lucia Specia, Alessio Palmero Aprosio, Sara Tonelli, & Tamara Martín Wanton. (2017). MUSST: A Multilingual Syntactic Simplification Tool. Proceedings of the IJCNLP 2017, System Demonstrations, 25-28.
Alessio Palmero Aprosio, & Giovanni Moretti. (2018). Tint 2.0: an All-inclusive Suite for NLP in Italian. Proceedings of CLIC-it 2018.
Palmero Aprosio Alessio, Menini Stefano, Tonelli Sara, Ducceschi Luca, & Herzog Leonardo. (2018). Towards Personalised Simplification based on L2 Learners Native Language. Proceedings of CLIC-it 2018.
Tonelli Sara, Palmero Aprosio, Alessio, & Mazzon Marco. (2017). The impact of phrases on Italian lexical simplification. Proceedings of CLIC-it 2017.
Tonelli Sara, Palmero Aprosio, Alessio, & Saltori Francesca. (2016). SIMPITIKI: A Simplification Corpus for Italian. Proceedings of CLIC-it 2016.
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