Paper: Toward Multimedia: A String Pattern-Based Passage Ranking Model for Video Question Answering

ACL ID N07-1068
Title Toward Multimedia: A String Pattern-Based Passage Ranking Model for Video Question Answering
Venue Human Language Technologies
Session Main Conference
Year 2007
Authors

In this paper, we present a new string pat- tern matching-based passage ranking al- gorithm for extending traditional text- based QA toward videoQA. Users interact with our videoQA system through natural language questions, while our system re- turns passage fragments with correspond- ing video clips as answers. We collect 75.6 hours videos and 253 Chinese ques- tions for evaluation. The experimental re- sults showed that our method outperformed six top-performed ranking models. It is 10.16% better than the sec- ond best method (language model) in rela- tively MRR score and 6.12% in precision rate. Besides, we also show that the use of a trained Chinese word segmentation tool did decrease the overall videoQA per- formance where most ranking algorithms dropped at least 10% in relatively MRR...