Abstract
We present a system for browsing a news repository that is based on semantic similarity of documents. News documents get automatically annotated semantically using information extraction. Annotations are displayed to a user who can easily retrieve crosslingual semantically related documents by selecting interesting content items. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Kasper, W., Steffen, J., & Zhang, Y. (2008). News annotations for navigation by semantic similarity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5243 LNAI, pp. 233–240). https://doi.org/10.1007/978-3-540-85845-4_29
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