Learning on demand - course lecture distillation by information extraction and semantic structuring for spoken documents

This paper presents a new approach of organizing the course lectures (as spoken documents) for efficient learning on demand by the users. By the properly matching the course lectures with the slides used, we divide the course lectures into hierarchical ldquomajor segmentsrdquo with variable length b...

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Bibliographic Details
Main Authors: Sheng-yi Kong, Miao-ru Wu, Che-kuang Lin, Yi-sheng Fu, Lin-shan Lee
Format: Conference Proceeding
Language:English
Subjects:
Content based retrieval
Course lectures
Data mining
Decision trees
Educational institutions
Key term hierarchy
Organizing
Prototypes
Roads
Semantic structuring
Speech processing
Spoken documents
System testing
Virtual prototyping
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