Publication year
2014Publisher
[S.l.] : Springer International Publishing
Series
Theory and Applications of Natural Language Processing
ISBN
9783319126548
In
Biemann, C.; Mehler, A. (ed.), Text Mining: From Ontology Learning to Automated Text Processing Applications, pp. 201-219Publication type
Part of book or chapter of book

Display more detailsDisplay less details
Editor(s)
Biemann, C.
Mehler, A.
Organization
Communicatie- en informatiewetenschappen
Book title
Biemann, C.; Mehler, A. (ed.), Text Mining: From Ontology Learning to Automated Text Processing Applications
Page start
p. 201
Page end
p. 219
Subject
ADNEXT (Adaptive Information Extraction over Time); Language & Speech Technology; Language in Society; Nederlab; NederlabAbstract
We present a pilot project which combines the respective strengths of research practices in history, memory studies, and computational linguistics. We present a proof-of-concept workflow for the semi-automatic detection and linking of narratives referring to the same event based on references to location names. We rely on the interaction between human evaluation, entity extraction, mapping, and network visualization techniques. We work with 83 narratives and reports surrounding the Battle of Arnhem in 1944. The liberation of the Netherlands led to frequent encounters between civilians and soldiers in the war zones. We seek to find multi-perspective descriptions of these interactions marked by a high degree of uncertainty, differing anticipations and sometimes violence. A proof-of-concept study shows that we cannot rely on standard named-entity recognition but need to develop fine-grained detection of street names, to capture the scenes that connect multi-perspective narratives.
This item appears in the following Collection(s)
- Academic publications [204024]
- Faculty of Arts [23945]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.