@inproceedings{ff831e91276341eeaa9370d50acc0699,
title = "A novel composite kernel for finding similar questions in CQA services",
abstract = "Finding similar questions in Community Question Answering (CQA) services plays more and more important role in current web and IR applications. The task aims to retrieve historical questions that are similar or relevant to new questions posed by users. However, traditional {"}bag-of-words{"} based models would fail to measure the similarity between question sentences, as they usually ignore sequential and syntactic information. In this paper, we propose a novel composite kernel to improve the accuracy in question matching. Our study illustrate that the composite kernel can efficiently capture both lexical semantics and syntactic information in a question sentence by leveraging word sequence kernel, POS tag sequence kernel and syntactic tree kernel. Experimental results on real world datasets show that our proposed method significantly outperforms the state-of-the-art models.",
keywords = "question answering, similarity measure, string kernel, tree kernel",
author = "Jun Wang and Zhoujun Li and Xia Hu and Biyun Hu",
year = "2010",
doi = "10.1007/978-3-642-14246-8\_59",
language = "英语",
isbn = "3642142451",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "608--619",
booktitle = "Web-Age Information Management - 11th International Conference, WAIM 2010, Proceedings",
note = "11th International Conference on Web-Age Information Management, WAIM 2010 ; Conference date: 15-07-2010 Through 17-07-2010",
}