TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Effective Summarization Method of Text Documents
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Automatic extraction of titles from general documents using machine learning
Information Processing and Management: an International Journal
Single Document Summarization Based on Local Topic Identification and Word Frequency
MICAI '08 Proceedings of the 2008 Seventh Mexican International Conference on Artificial Intelligence
Enhancing Learning Objects with an Ontology-Based Memory
IEEE Transactions on Knowledge and Data Engineering
Automatic slide presentation from semantically annotated documents
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
Graph-based keyword extraction for single-document summarization
MMIES '08 Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization
Document Summarization and Information Extraction for Generation of Presentation Slides
ARTCOM '09 Proceedings of the 2009 International Conference on Advances in Recent Technologies in Communication and Computing
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The effectiveness of an e-learning system for distance education to a large extent depends on the relevancy and presentation of learning content to the learner. The ability to gather documents on a particular topic from the web and adapt the contents of the document to suit the learner is an important task from the content creation perspective of e-learning. For the developer of e-learning material the provision to automatically extract, organize, and present content material would improve its effectiveness. This paper proposes to extract information from documents using language processing techniques and organizing the content into appropriate presentation slides for learning purposes using domain ontology and learning oriented pedagogy ontology.