Exploiting Multiword Expressions to Solve “La Ghigliottina”

Il contributo descrive il sistema UNIOR4NLP, sviluppato per risolvere il gioco “La Ghigliottina”, che ha partecipato alla sfida NLP4FUN della campagna di valutazione Evalita 2018. Il sistema risulta il migliore della competizione e ha prestazioni più elevate rispetto agli umani.The paper describes UNIOR4NLP a system developed to solve “La Ghigliottina” game which took part in the NLP4FUN task of the Evalita 2018 evaluation campaign. The system is the best performing one in the competition and achieves better results than human players

Computational Stylometry and Machine Learning for Gender and Age Detection in Cyberbullying Texts

The aim of this paper is to show the importance of Computational Stylometry (CS) and Machine Learning (ML) support in author’s gender and age detection in cyberbullying texts. We developed a cyberbullying detection platform and we show the results of performances in terms of Precision, Recall and F-Measure for gender and age detection in cyberbullying texts we collecte

Monitoring Social Media to Identify Environmental Crimes through NLP - A Preliminary Study

This paper presents the results of research carried out on the UNIOR Eye corpus, a corpus which has been built by downloading tweets related to environmental crimes. The corpus is made up of 228,412 tweets organized into four different subsections, each one concerning a specific environmental crime. For the current study we focused on the subsection of waste crimes, composed of 86,206 tweets which were tagged according to the two labels alert and no alert. The aim is to build a model able to detect which class a tweet belongs to

“Il Mago della Ghigliottina” @ Ghigliottin-AI: When Linguistics meets Artificial Intelligence

This paper describes Il mago della Ghigliottina, a bot which took part in the Ghigliottin-AI task of the Evalita 2020 evaluation campaign. The aim is to build a system able to solve the TV game “La Ghigliottina”. Our system has already participated in the Evalita 2018 task NLP4FUN. Compared to that occasion, it improved its accuracy from 61% to 68.6%.Questo contributo descrive Il mago della Ghigliottina, un bot che ha partecipato a Ghigliottin-AI, uno dei task di Evalita 2020. Scopo del task è mettere in piedi un sistema automatico capace di risolvere il gioco televisivo “La Ghigliottina”. Il nostro sistema ha già partecipato all’edizione del 2018 di Evalita al task NLP4FUN. Rispetto all’edizione del 2018 di NLP4FUN, l’accuratezza è salita dal 61% al 68.6%

Caratterizzazione fisiografica, geomorfologica e bionomica della <i>Rias</i> di Santa Teresa di Gallura: Sardegna nord-orientale = Physiographic, geomorphological and bionomic characterization of the Santa Teresa di Gallura <i>Rias</i> (N.E. Sardinia)

An underwater survey in the Rias of S. Teresa di Gallura was made to characterize the benthic environment by integrating three methods: Side Scan Sonar, ROV, SCUBA diving. The main bionomic features at different depths were described and mapped. The presence of Savalia savaglia, a rare Mediterranean species contributed to enhance the environmental value of the study area