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Retrieval, Crawling and Fusion of Entity-centric Data on the Web Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Network-Enabled Keyword Extraction for Under-Resourced Languages

Authors : Slobodan Beliga, Sanda Martinčić-Ipšić

Published in: Semantic Keyword-Based Search on Structured Data Sources

Publisher: Springer International Publishing

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Abstract

In this paper we discuss advantages of network-enabled keyword extraction from texts in under-resourced languages. Network-enabled methods are shortly introduced, while focus of the paper is placed on discussion of difficulties that methods must overcome when dealing with content in under-resourced languages (mainly exhibit as a lack of natural language processing resources: corpora and tools). Additionally, the paper discusses how to circumvent the lack of NLP tools with network-enabled method such is SBKE method.

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Metadata
Title
Network-Enabled Keyword Extraction for Under-Resourced Languages
Authors
Slobodan Beliga
Sanda Martinčić-Ipšić
Copyright Year
2017
Publisher
Springer International Publishing
Book
Semantic Keyword-Based Search on Structured Data Sources

Print ISBN: 978-3-319-53639-2

Electronic ISBN: 978-3-319-53640-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-53640-8_11