Automated Question Answering From Lecture Videos: NLP vs. Pattern Matching

Authors:
Jinwei Cao;Jose Antonio Robles-Flores;Dmitri Roussinov;Jay F. Nunamaker, Jr.
Affiliations:
University of Arizona;Arizona State University / ESAN;Arizona State University;University of Arizona
Venue:
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
Year:
2005

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Abstract

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.