Building hypertext using information retrieval
Information Processing and Management: an International Journal - Special issue: methods and tools for the automatic construction of hypertext
Automated link generation: can we do better than term repetition?
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Foundations of statistical natural language processing
Foundations of statistical natural language processing
ACM Computing Surveys (CSUR)
Building Hypertext Links By Computing Semantic Similarity
IEEE Transactions on Knowledge and Data Engineering
The Journal of Machine Learning Research
From Keywords to Links: an Automatic Approach
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Generating links by mining quotations
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Introduction to Information Retrieval
Introduction to Information Retrieval
GPX: Ad-Hoc Queries and Automated Link Discovery in the Wikipedia
Focused Access to XML Documents
Advances in Focused Retrieval: 7th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2008, Dagstuhl Castle, Germany, December 15-18, 2008. Revised and Selected Papers
University of Waterloo at INEX 2008: Adhoc, Book, and Link-the-Wiki Tracks
Advances in Focused Retrieval
Stealing Anchors to Link the Wiki
Advances in Focused Retrieval
Context Based Wikipedia Linking
Advances in Focused Retrieval
Advances in Focused Retrieval
Advances in Focused Retrieval
CSIR at INEX 2008 Link-the-Wiki Track
Advances in Focused Retrieval
Connecting repositories in the open access domain using text mining and semantic data
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Hi-index | 0.00 |
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.