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PKDD
2000
Springer
100views Data Mining» more  PKDD 2000»
13 years 11 months ago
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
Silvia Acid, Luis M. de Campos
FLAIRS
2007
13 years 10 months ago
Discriminating between Second Language Learning Text-Types
Text classification remains one of the major fields of research in natural language processing. This paper evaluates the use of the computational tool Coh-Metrix as a means to dis...
Scott A. Crossley, Philip M. McCarthy, Danielle S....
ACL
2008
13 years 9 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
EDM
2010
101views Data Mining» more  EDM 2010»
13 years 9 months ago
Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity
While many aspects of tutoring have been identified and studied, off topic conversation has been largely ignored. In this paper, off topic conversation during 50 hours of one-to-on...
Blair Lehman, Whitney L. Cade, Andrew Olney
EDM
2010
145views Data Mining» more  EDM 2010»
13 years 9 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...