Network-Enabled Keyword Extraction for Under-Resourced Languages

Year: 2016
Venue: Semantic Keyword-Based Search on Structured Data Sources
Product of the Action: Yes

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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.