Document Summarization and Information Extraction for Generation of Presentation Slides

Authors:
Harish Mathivanan;Madan Jayaprakasam;K. Gokul Prasad;T. V. Geetha
Affiliations:
-;-;-;-
Venue:
ARTCOM '09 Proceedings of the 2009 International Conference on Advances in Recent Technologies in Communication and Computing
Year:
2009

Citing 0
Cited 2

Automatic Organization and Generation of Presentation Slides for E-Learning

International Journal of Distance Education Technologies
A method for generating presentation slides based on expression styles using document structure

International Journal of Knowledge and Web Intelligence

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Abstract

In this paper, a semi automated technique to generate slide presentations from english text documents is proposed. The technique discussed in this paper is considered to be a pioneering attempt in the field of NLP(Natural Language Processing). The technique involves an information extractor and a slide generator, which combines certain NLP methods such as segmentation, chunking, summarization etc.., with certain special linguistic features of the text such as the ontology of the words, noun phrases found, semantic links, sentence centrality etc., In order to aid the language processing task, two tools can be utilized namely, MontyLingua which helps in chunking and Doddle helps in creating an ontology for the input text represented as an OWL (Ontology Web Language) file. The process of the technique comprises of extracting text, creating an ontology, identifying important phrases for bullets and generating slides.