CLVQ: Cross-language video question/answering system

Yu Chyeh Wu, Chia Hui Chang, Yue Shi Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

Multi-Language information retrieval promotes users to browse documents in the form of their mother language, and more and more peoples interested in retrieves short answers rather than a full document. In this paper, we present a cross-language video QA system i.e. CLVQ, which could process the English questions, and find answers in Chinese videos. The main contribution of this research are: (1) the application of QA technology into different media; and (2) adopt a new answer finding approach without human-made rules; (3) the combination of several techniques of passage retrieval algorithms. The experimental result shows 56% of answer finding. The testing collection was consists of six Discovery movies, and questions are from the School of Discovery web site.

Original languageEnglish
Title of host publicationProceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004
PublisherIEEE Computer Society
Pages294-301
Number of pages8
ISBN (Print)0769522173, 9780769522173
DOIs
StatePublished - 2004
EventProceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004 - Miami, FL, United States
Duration: 13 Dec 200415 Dec 2004

Publication series

NameProceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004

Conference

ConferenceProceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004
Country/TerritoryUnited States
CityMiami, FL
Period13/12/0415/12/04

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