15 search results - page 2 / 3 » Learning to classify short and sparse text |
ICTAI
2008
IEEE
13 years 11 months ago
2008
IEEE
Analyzing spend transactions is essential to organizations for understanding their global procurement. Central to this analysis is the automated classification of these transacti...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
WCE
2007
13 years 6 months ago
2007
— Our work explores the use of several text categorization techniques for classification of manufacturing quality defect and service shop data sets into fixed categories. Althoug...
AAAI
2008
13 years 7 months ago
2008
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...
ACL
2006
13 years 6 months ago
2006
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...