Photo-based question answering
MM '08 Proceedings of the 16th ACM international conference on Multimedia
SMS based interface for FAQ retrieval
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Performance Improvement in Automatic Question Answering System Based on Dependency Term
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Handling noisy queries in cross language FAQ retrieval
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
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Frequently Asked Question (FAQ) answering is a very useful module in automatic question answering (QA) systems where calculation of question similarity is a key problem. In this paper, we propose a new method for measuring the similarity between users' questions and the questions in a FAQ database. Both statistic measure and semantic information are employed. Statistic similarity is calculated based on dynamically formed vectors while semantic similarity is calculated by utilizing word similarity based on WordNet. Overall similarity is a combination of statistic similarity and semantic similarity. Preliminary results show that our method achieves a good performance.