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2021 | OriginalPaper | Chapter

Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch

Authors : Andreas Vlachidis, Douglas Tudhope, Milco Wansleeben

Published in: Metadata and Semantic Research

Publisher: Springer International Publishing

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Abstract

The chapter focuses on the application of Knowledge-Based Named Entity Recognition (NER) to extract archaeological concepts from Dutch grey literature. It discusses the significance of NLP in indexing and retrieving valuable information from vast amounts of unpublished archaeological reports. The development of a rule-based NER system using the GATE framework and Rijksdienst voor het Cultureel Erfgoed (RCE) thesauri is detailed, along with the challenges and solutions encountered in adapting the system to the Dutch language and archaeological domain. The evaluation of the system's performance using a Gold Standard set of manual annotations is also presented, highlighting the improvements made to the system based on the evaluation results. The chapter concludes with a discussion of future work, including the potential for further enhancing the system's capabilities and addressing remaining challenges.
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Metadata
Title
Knowledge-Based Named Entity Recognition of Archaeological Concepts in Dutch
Authors
Andreas Vlachidis
Douglas Tudhope
Milco Wansleeben
Copyright Year
2021
Book
Metadata and Semantic Research

Print ISBN: 978-3-030-71902-9

Electronic ISBN: 978-3-030-71903-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-71903-6_6