Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
Improving the performance of question answering with semantically equivalent answer patterns
Data & Knowledge Engineering
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Many questions submitted to Collaborative Question Answering (CQA) sites have been answered before. We propose an approach to automatically generating an answer to such questions based on automatically learning to identify "equivalent" questions. Our main contribution is an unsupervised method for automatically learning question equivalence patterns from CQA archive data. These patterns can be used to match new questions to their equivalents that have been answered before, and thereby help suggest answers automatically. We experimented with our method approach over a large collection of more than 200,000 real questions drawn from the Yahoo! Answers archive, automatically acquiring over 300 groups of question equivalence patterns. These patterns allow our method to obtain over 66% precision on automatically suggesting answers to new questions, significantly outperforming conventional baseline approaches to question matching.