Conceptual analysis of lexical taxonomies: the case of WordNet top-level
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
IEEE Intelligent Systems
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Automatic question generation for vocabulary assessment
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Semantic Cohesion and Learning
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
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General-purpose ontologies (e.g WordNet) are convenient, but they are not always scientifically valid We draw on techniques from semantic class learning to improve the scientific validity of WordNet's physics forces hyponym (IS-A) hierarchy for use in an intelligent tutoring system We demonstrate the promise of a web-based approach which gathers web statistics used to relabel the forces as scientifically valid or scientifically invalid Our results greatly improve the F1 for predicting scientific invalidity, with small improvements in F1 for predicting scientific validity and in overall accuracy compared to the WordNet baseline.