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» Ontology-based Text Document Clustering
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AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
15 years 6 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
EWCBR
2006
Springer
15 years 4 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
118
Voted
BMCBI
2006
153views more  BMCBI 2006»
15 years 15 days ago
Automatic document classification of biological literature
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
David Chen, Hans-Michael Müller, Paul W. Ster...
ICANNGA
2009
Springer
173views Algorithms» more  ICANNGA 2009»
14 years 10 months ago
On Document Classification with Self-Organising Maps
Abstract This research deals with the use of self-organising maps for the classification of text documents. The aim was to classify documents to separate classes according to their...
Jyri Saarikoski, Kalervo Järvelin, Jorma Laur...
86
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COLING
2010
14 years 7 months ago
Streaming Cross Document Entity Coreference Resolution
Previous research in cross-document entity coreference has generally been restricted to the offline scenario where the set of documents is provided in advance. As a consequence, t...
Delip Rao, Paul McNamee, Mark Dredze