197 search results - page 14 / 40 » Word Clustering and Disambiguation Based on Co-occurrence Da... |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
JMLR
2010
13 years 2 months ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
IJCAI
2007
13 years 9 months ago
2007
In this paper we revisit the classical NLP problem of prepositional phrase attachment (PPattachment). Given the pattern V −NP1−P −NP2 in the text, where V is verb, NP1 is a ...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
INCDM
2010
Springer
13 years 6 months ago
2010
Springer
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...