Foundations of statistical natural language processing
Foundations of statistical natural language processing
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
From Glossaries to Ontologies: Extracting Semantic Structure from Textual Definitions
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Dependency-based syntactic-semantic analysis with PropBank and NomBank
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Evaluating the Generation of Domain Ontologies in the Knowledge Puzzle Project
IEEE Transactions on Knowledge and Data Engineering
Human-competitive tagging using automatic keyphrase extraction
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Expert Systems with Applications: An International Journal
Guru: a computer tutor that models expert human tutors
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
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In this paper we present a methodology for creating concept map exercises for students. Concept mapping is a common pedagogical exercise in which students generate a graphical model of some domain. Our method automatically extracts knowledge representations from a textbook and uses them to generate concept maps. The purpose of the study is to generate and evaluate these concept maps according to their accuracy, completeness, and pedagogy.