Contextual Approaches for Identification of Toponyms in Ancient Documents
Hendrik Schöneberg, Frank Müller
2012
Abstract
Performing Named Entity Recognition on ancient documents is a time-consuming, complex and error-prone manual task. It is a prerequisite though to being able to identify related documents and correlate between named entities in distinct sources, helping to precisely recreate historic events. In order to reduce the manual effort, automated classification approaches could be leveraged. Classifying terms in ancient documents in an automated manner poses a difficult task due to the sources’ challenging syntax and poor conservation states. This paper introduces and evaluates two approaches that can cope with complex syntactial environments by using statistical information derived from a term’s context and combining it with domain-specific heuristic knowledge to perform a classification. Furthermore, these approaches can easily be adapted to new domains.
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in Harvard Style
Schöneberg H. and Müller F. (2012). Contextual Approaches for Identification of Toponyms in Ancient Documents . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 163-168. DOI: 10.5220/0004110701630168
in Bibtex Style
@conference{kdir12,
author={Hendrik Schöneberg and Frank Müller},
title={Contextual Approaches for Identification of Toponyms in Ancient Documents},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={163-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004110701630168},
isbn={978-989-8565-29-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - Contextual Approaches for Identification of Toponyms in Ancient Documents
SN - 978-989-8565-29-7
AU - Schöneberg H.
AU - Müller F.
PY - 2012
SP - 163
EP - 168
DO - 10.5220/0004110701630168