213 search results - page 4 / 43 » Combining Statistics and Semantics for Word and Document Clu... |
BIBE
2007
IEEE
14 years 2 months ago
2007
IEEE
—We present an information retrieval model for combining evidence from concept-based semantics, term statistics, and context for improving search precision of genomics literature...
NAACL
2003
13 years 9 months ago
2003
This paper describes an unsupervised algorithm for placing unknown words into a taxonomy and evaluates its accuracy on a large and varied sample of words. The algorithm works by ï...
COLING
2002
13 years 7 months ago
2002
There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficult, because of segmentation ambiguities and occurrences of unknown words. Conve...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
IPM
2006
13 years 7 months ago
2006
E-commerce and knowledge management applications generate and consume tremendous amounts of online information that is typically available as textual documents. To facilitate subs...