1679 search results - page 11 / 336 » Learning Word Clusters from Data Types |
102
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ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
136
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BMCBI
2010
15 years 2 months ago
2010
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
118
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KDD
2004
ACM
16 years 2 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
137
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IJCNLP
2005
Springer
15 years 7 months ago
2005
Springer
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
107
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...