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Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1
Big Island, Hawaii
January 03-January 06
ISBN: 0-7695-2268-8
Jinwei Cao, University of Arizona
Jos? Antonio Robles-Flores, Arizona State University / ESAN
Dmitri Roussinov, Arizona State University
Jay F. Nunamaker, Jr., University of Arizona
This paper explores the feasibility of automated question answering from lecture video materials used in conjunction with PowerPoint slides. Two popular approaches to question answering are discussed, each separately tested on the text extracted from videotaped lectures: 1) the approach based on Natural Language Processing (NLP) and 2) a self-learning probabilistic pattern matching approach. The results of the comparison and our qualitative observations are presented. The advantages and shortcomings of each approach are discussed in the context of video applications for e-learning or knowledge management.
Citation:
Jinwei Cao, Jos? Antonio Robles-Flores, Dmitri Roussinov, Jay F. Nunamaker, Jr., "Automated Question Answering From Lecture Videos: NLP vs. Pattern Matching," hicss, vol. 1, pp.43b, Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1, 2005
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