Tipo di tesi
Tesi di laurea magistrale
Titolo
Industrial Strength Multilingual Named Entity Collection for the SPIRIT Project
Dipartimento
FILOLOGIA, LETTERATURA E LINGUISTICA
Corso di studi
INFORMATICA UMANISTICA
Riassunto (Italiano)
Scalable privacy preserving intelligence analysis for resolving identities (SPIRIT) is a Cybersecurity and OSINT project which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 786993. The SPIRIT Project aims to provide an innovative platform based on an integrated approach for the multimodal and multilingual analysis of different types of content from different types of sources in order to facilitate cognitive tasks in the resolution of criminal identities. In the present work we give a detailed overview of the SPIRIT platform's architecture and pipelines, showing the entire technological stack. Then, we will shift the attention to the NLP and Deep Learning techniques adopted and the experiments conducted in order to provide a performing Multilingual Open Domain Named Entity Recognition engine.
