A Mobile Video Question Answering System for E-learning

Huang, Yi-Ting; Chung, Ching-I; Tsai, Chi-Cheng; Shen, Chia-Hsing; Wu, Yu-Chieh; Yang, Jie Chi

doi:10.1109/icalt.2007.19

Cited by 5 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The input to the system, however, is provided only through text. Yang et al (2003) refer to their system as 'news video QA system', while Huang et al (2007) call their system as 'video QA system'. The well-known start multimedia information system (Katz et al, 2002b) uses natural language annotations , which are machine-parseable sentences and phrases that describe the content of various information segments.…”

Section: Multimedia Qasmentioning

confidence: 99%

See 1 more Smart Citation

Versatile question answering systems: seeing in synthesis

Mittal

2011

IJIIDS

View full text Add to dashboard Cite

Recent advances in massive information storage and growth of internet have led to increased necessity of tools such as search engines and QA systems to get meaningful answers from the vast amount of information. The complex questions appearing in real-life generally require multiple techniques or sub-division of question at various levels. Several practical systems have been developed to explore this. This paper reviews state-of-art QA systems which provide enhanced and versatile functionality at various levels in their architecture and then makes the following contributions:1 it provides useful overview of research trends and recent developments in the area of QA 2 the paper introduces and defines basic design parameters for any QA system 3 it resolves semantic heterogeneity by clarifying the meaning and context in which different terms are used by different researchers 4 it classifies the existing QA systems in broad groups, based on the point at which versatility (multiplicity) is introduced/handled in the system 5 by developing a unified view of existing frontiers of QA systems, it provides clear directions for future research and development in the area.

show abstract

Section: Multimedia Qasmentioning

confidence: 99%

“…The answer of the system consists of news video summaries and news transcripts sentences. Huang et al (2007) present "A mobile video question answering system for elearning". It is designed to integrate with multimedia content question answering, retrieval, and annotation in the wireless and mobile environment.…”

Section: Multimedia Qasmentioning

confidence: 99%

Versatile question answering systems: seeing in synthesis

Mittal

2011

IJIIDS

View full text Add to dashboard Cite

show abstract

Text mining in education

Mello

Andre

Pinheiro

et al. 2019

WIREs Data Min & Knowl

148

View full text Add to dashboard Cite

The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others. It produces exciting challenges on how to mine text data in order to find useful knowledge for educational stakeholders. Despite the increasing number of educational applications of text mining published recently, we have not found any paper surveying them. In this line, this work presents a systematic overview of the current status of the Educational Text Mining field. Our final goal is to answer three main research questions: Which are the text mining techniques most used in educational environments? Which are the most used educational resources? And which are the main applications or educational goals? Finally, we outline the conclusions and the more interesting future trends. This article is categorized under: Application Areas > Education and Learning Ensemble Methods > Text Mining

show abstract

A Brief History of Mobile Seamless Learning

Wong

2015

Seamless Learning in the Age of Mobile Connectivity

View full text Add to dashboard Cite

A Mobile Video Question Answering System for E-learning

Cited by 5 publications

References 6 publications

Versatile question answering systems: seeing in synthesis

Versatile question answering systems: seeing in synthesis

Text mining in education

A Brief History of Mobile Seamless Learning

Contact Info

Product

Resources

About