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Knoth, Petr; Novotny, Jakub and Zdrahal, Zdenek
(2010).
URL: http://aclweb.org/anthology/C/C10/C10-1067.pdf
Abstract
This paper investigates the use and the prediction potential of semantic similarity measures for automatic generation of links across different documents and passages. First, the correlation between the way people link content and the results produced by standard semantic similarity measures is investigated. The relation between semantic similarity and the length of the documents is then also analysed. Based on these findings a new method for link generation is formulated and tested.
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- Item ORO ID
- 22933
- Item Type
- Conference or Workshop Item
- Project Funding Details
-
Funded Project Name Project ID Funding Body Not Set Not Set Eurogene - Keywords
- automatic link generation; information retrieval; semantic similarity; wikipedia; CORE
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
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Centre for Research in Computing (CRC)
Big Scientific Data and Text Analytics Group (BSDTAG) - Copyright Holders
- © 2010 The Authors
- Related URLs
- Depositing User
- Petr Knoth