Proceedings-Artikel

Annotation and Classification of Locations in Folktales

Matthias Lindemann; Stefan Grünewald; Thierry Declerck
In: Andrew U. Frank; Christine Ivanovic; Francesco Mambrini; Marco Passarotti; Caroline Sporleder (Hrsg.). Proceedings of the Second Workshop on Corpus-Based Research in the Humanities. Workshop on Corpus-Based Research in the Humanities (CHR-18), January 25-26, Vienna, Austria, ISBN 978-3-901716-43-, Gerastree Proceedings, GTP 1. Vienna, 1/2018.

Abstract

In the context of a software project dedicated to the automated classification of folk and fairy tales, we focused on their segmentation by scenes and their respective locations. In contrast to novels, fairy tales are often taking place at the same types of locations, such as castles, in the forest, in a small hut, and the like. That is, locations can be considered as a feature for supporting the general classification of folktales. In this paper, we describe our first annotation approaches for supporting the automatic detection of locations in folktales that are in German language. To our knowledge, this is the first work on automatically detecting locations in folktales.

Projekte

QT21

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BibTeX

annotation-classification-locations_chr2_final.pdf