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Papasalouros, Andreas; Kotis, Konstantinos; Kanaris, Konstantinos – Interactive Learning Environments, 2011
The aim of this article is to present an approach for generating tests in an automatic way. Although other methods have been already reported in the literature, the proposed approach is based on ontologies, representing both domain and multimedia knowledge. The article also reports on a prototype implementation of this approach, which…
Descriptors: Semantics, Natural Language Processing, Test Construction, Educational Technology
Brown, Susan Windisch – ProQuest LLC, 2010
The deep semantic understanding necessary for complex natural language processing tasks, such as automatic question-answering or text summarization, would benefit from highly accurate word sense disambiguation (WSD). This dissertation investigates what makes an appropriate and effective sense inventory for WSD. Drawing on theories and…
Descriptors: Psycholinguistics, Semantics, Computational Linguistics, Knowledge Representation
Yang, Yu-Fen; Wong, Wing-Kwong; Yeh, Hui-Chin – Computers & Education, 2009
Referential identification and resolution are considered the keys to help readers grasp the main idea of a text and solve lexical ambiguities. The goal of this study is to design a computer system for helping college students who learn English as a Foreign Language (EFL) develop mental maps of referential identification and resolution in reading.…
Descriptors: English (Second Language), Second Language Instruction, Knowledge Representation, Concept Mapping
Jones, Michael N.; Mewhort, Douglas J. K. – Psychological Review, 2007
The authors present a computational model that builds a holographic lexicon representing both word meaning and word order from unsupervised experience with natural language. The model uses simple convolution and superposition mechanisms to learn distributed holographic representations for words. The structure of the resulting lexicon can account…
Descriptors: Semantics, Knowledge Representation, Dictionaries, Comprehension

Holland, V. Melissa; Kaplan, Jonathan D. – Instructional Science, 1995
Describes the role of natural language processing (NLP) techniques, such as parsing and semantic analysis, within current language tutoring systems. Examines trends, design issues and tradeoffs, and potential contributions of NLP techniques with respect to instructional theory and educational practice. Addresses limitations and problems in using…
Descriptors: Computer Assisted Instruction, Instructional Design, Intelligent Tutoring Systems, Knowledge Representation