Network-Enabled Keyword Extraction for Under-Resourced Languages

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• 关键词：Network ; enabled keyword extraction ; Under ; resourced languages ; NLP tools ; SBKE method
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10151
• 期：1
• 页码：124-135
• 丛书名：Semantic Keyword-Based Search on Structured Data Sources
• ISBN：978-3-319-53640-8
• 卷排序：10151

文摘

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.