Marco Rovera joins the Chair of Digital History team

We are pleased to welcome a new team member at the Chair of Digital History. As of October 2021, Dr. Marco Rovera has joined the team in the position of Postdoctoral Researcher. 

Marco Rovera is working at the intersection between Digital Humanities and Natural Language Processing. He obtained his PhD in Computer Science at the University of Torino (Italy) in 2019 with a dissertation entitled Event-based Access to Historical Textual Collections [paper version here], in the framework of which he created, through digitization, a corpus of historical memoirs of Italian partisans during World War II in Italy and developed an Entity Linking and Event Extraction pipeline focusing on motion, social and conflict-related events.

During his PhD, Mr. Rovera was a visiting PhD student at the Data and Web Science Group (DWS) of the University of Mannheim and at the Digital Humanities Group at Fondazione Bruno Kessler (FBK) in Trento. After that, he spent two years at the Institute for Applied AI of the Media University in Stuttgart, where he worked on data management and enrichment for the JudaicaLink knowledge graph and contributed to the automatic processing of Compact Memory, a large collection of Jewish newspapers in German, setting up the Information Extraction and Entity Linking pipeline for the corpus.

He sees the Digital Humanities, and more specifically Digital History, as his reference application field and likes to think of his work as a contribution to bridge the gap between the Humanities – especially where language is involved – and the world of Computational Science. He is more specifically interested in the application of Information Extraction techniques on historical texts, in particular Event Extraction.

We warmly welcome Dr. Marco Rovera to our Digital History team!

Diesen Blogbeitrag zitieren
Digital History Berlin (Redaktion) (2021, 29. November). Marco Rovera joins the Chair of Digital History team. Digital History Berlin. Abgerufen am 20. Juni 2024, von

Schreibe einen Kommentar

Deine E-Mail-Adresse wird nicht veröffentlicht. Erforderliche Felder sind mit * markiert

Diese Website verwendet Akismet, um Spam zu reduzieren. Erfahre mehr darüber, wie deine Kommentardaten verarbeitet werden.

Suche in OpenEdition Search

Sie werden weitergeleitet zur OpenEdition Search