Presentation Open Access

Using deep learning to explore movement of people in a large corpus of biographies

Schlögl, Matthias; Lejtovicz, Katalin; Bernád, Ágoston Zénó; Kaiser, Maximilian; Rumpolt, Peter

In this presentation we showcase our first experiences with deep learning models for relation extraction in german biographies. These models are trained on human annotations of relations between the biographed person and entities found in the full-text (e.g. person A >> travelled to >> Wien).

An interactive version of this presentation that allows also to test the trained model can be found here.

Interactive version of this presentation is available here: https://apis.acdh.oeaw.ac.at/presentation_innsbruck17/
Files (975.8 kB)
Name Size
dha_2017_presentation_v2.pdf
md5:c760e7a327458e803fb801c88081089c
975.8 kB Download
14
11
views
downloads
All versions This version
Views 1414
Downloads 1111
Data volume 10.7 MB10.7 MB
Unique views 1313
Unique downloads 1010

Share

Cite as