Arpil 8th-9th, 2019
Max planck institute for the History of sciences, Berlin
Room 219
org: Matthieu Husson and Matteo Valleriani (Max-Planck Berlin)
Participants:
Jochen Büttner (MPIWG, Berlin Center for Machine Learning), Shih-Pei Chen (MPIWG), Oliver Eberle (TU Berlin, Machine Learning Group), Sietske Fransen (Biblioteca Hertziana, MPG, Rome), Matthieu Husson (PSL-Observatoire de Paris, ALFA project), Florian Kräutli (MPIWG), Anuj Misra (MPIWG), Nungyao Lin (MPIWG), Christoph Sander (MPIWG), Galla Topalian (PSL-Observatoire de Paris, ALFA project), Matteo Valleriani (MPIWG), Malte Vogl (MPIWG), Calvin Yeh (MPIWG)
Program
April 8th
10:00
Matteo Valleriani
Welcome
Session 1: The Historical research
10:15
Matthieu Husson
Why and how do we build DISHAS?
11:00
Coffee Break
11:15
Matteo Valleriani
The Sphaera Corpus
Session 2: Retrieval
12:00
Nungyao Lin
Machine-Learning Historical Images Categorization via Neural Network
13:00
Lunch Break
14:00
Jochen Büttner
Using ML technology to recognize tables in the Sphaera Corpus
15:00
Oliver Eberle
A Deep Network’s Perspective on Tables
15:30
Shih-Pei Chen, Calvin Yeh
Extracting Tables in Chinese Local Gazetteers
16:00
Coffee Break
16:15
Discussion
17:30
Dinner with Discussion at the Trattoria Romana