UNIGE_SE @ PRELEARN: Utility for Automatic Prerequisite Learning from Italian Wikipedia

The present paper describes the approach proposed by the UNIGE_SE team to tackle the EVALITA 2020 shared task on Prerequisite Relation Learning (PRELEARN). We developed a neural network classifier that exploits features extracted both from raw text and the structure of the Wikipedia pages provided by task organisers as training sets. We participated in all four sub–tasks proposed by task organizers: the neural network was trained on different sets of features for each of the two training settings (i.e., raw and structured features) and evaluated in all proposed scenarios (i.e. in– and cross– domain). When evaluated on the official test sets, the system was able to get improvements compared to the provided baselines, even though it ranked third (out of three participants). This contribution also describes the interface we developed to compare multiple runs of our models

The underwater wonderland of ancient Puglia

The projects Puglia Seascapes - looking at Apulia from an underwater perspective – and UnderwaterMuse, Immersive Underwater Museum Experience for a wider inclusion, both coordinated by Puglia Region, aim to make a significant contribution to better understanding of the underwater cultural heritage; the study cases concern different sites in the Marine Protected Areas of Porto Cesareo and Torre Guaceto: a cargo of columns from Evia island and another cargo of amphoras scattered in the shallow waters of Torre Chianca (Porto Cesareo, Lecce) and the remains of a Late Antique cargo (V-VI century AD) found in the waters of Torre Guaceto (Brindisi). The interpretation of the archaeological and geoarchaological data about the sites, their formation process and the coastal landscape evolution, as well as the 3D models obtained through photogrammetry techniques based on SfM (Structure from Motion) and underwater 360° and 5K videos, allowed us to develope a methodological and technological protocol based on the use of a software (App), i.e. Puglia Seascapes VR. It provides suggestive scenarios through advanced 3D modeling and animation techniques and results in interactive videos shoot that reconstruct and above all narrate in an emotional way the last journey of the ship in the ancient seascape, deeply different from the current, and the formation of underwater context. Moreover, the application of immersive techniques accessible from a single VR application for wearable devices allows the large public to discover new environments and the scholars to face to a new approach for rewriting the history of ancient Italy

EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it)