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.
Network-Enabled Keyword Extraction for Under-Resourced Languages
Authors:
Year:
2016
Venue:
Semantic Keyword-Based Search on Structured Data Sources
Link:
https://link.springer.com/chapter/10.1007/978-3-319-53640-8_11
Product of the Action:
Yes
Keystone Members Authors:
Sanda Martincic-Ipsic, Slobodan Beliga