1679 search results - page 11 / 336 » Learning Word Clusters from Data Types |
ICDM
2003
IEEE
14 years 21 days 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 ...
BMCBI
2010
13 years 7 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...
KDD
2004
ACM
14 years 7 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...
IJCNLP
2005
Springer
14 years 27 days 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...
ICML
2009
IEEE
14 years 8 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...