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» Machine Learning Approaches for Inducing Student Models
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MLCW
2005
Springer
14 years 29 days ago
An Inference Model for Semantic Entailment in Natural Language
Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that ...
Rodrigo de Salvo Braz, Roxana Girju, Vasin Punyaka...
ICALT
2009
IEEE
14 years 2 months ago
Concept Extraction from Student Essays, Towards Concept Map Mining
This paper presents a new approach for automatic concept extraction, using grammatical parsers and Latent Semantic Analysis. The methodology and tool used to build the benchmarkin...
Jorge J. Villalón, Rafael A. Calvo
DATAMINE
2006
117views more  DATAMINE 2006»
13 years 7 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
ICML
2008
IEEE
14 years 8 months ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell
UAI
2007
13 years 8 months ago
Indirectly Visible Bayesian Student Models
Inspectable Bayesian student models have been used to support student reflection, knowledge awareness and communication among teacher, students and parents. This paper presents a...
Juan-Diego Zapata-Rivera