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SBRN
2008
IEEE
14 years 1 months ago
Using a Probabilistic Neural Network for a Large Multi-label Problem
The automation of the categorization of economic activities from business descriptions in free text format is a huge challenge for the Brazilian governmental administration in the...
Elias Oliveira, Patrick Marques Ciarelli, Alberto ...
WIDM
2003
ACM
14 years 24 days ago
Clustering documents in a web directory
Hierarchical categorization of documents is a task receiving growing interest due to the widespread proliferation of topic hierarchies for text documents. The worst problem of hie...
Giordano Adami, Paolo Avesani, Diego Sona
KER
2008
103views more  KER 2008»
13 years 7 months ago
A context-sensitive framework for lexical ontologies
Human categorization is neither a binary nor a context-free process. Rather, the criteria that govern the use and recognition of certain concepts may be satisfied to different deg...
Tony Veale, Yanfen Hao
WWW
2007
ACM
14 years 8 months ago
Acquiring ontological knowledge from query logs
We present a method for acquiring ontological knowledge using search query logs. We first use query logs to identify important contexts associated with terms belonging to a semant...
Satoshi Sekine, Hisami Suzuki
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
14 years 8 months ago
Transforming classifier scores into accurate multiclass probability estimates
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Bianca Zadrozny, Charles Elkan