A Deep Learning Approach for Question Answering Over Knowledge Base
A Deep Learning Approach for Question Answering Over Knowledge Base
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DOI：
10.1007/978-3-319-50496-4_82
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发表时间：
2016-12
期刊：
影响因子：
--
通讯作者：
Linjie Wang;Yu Zhang;Ting Liu
中科院分区：
文献类型：
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作者：
Linjie Wang;Yu Zhang;Ting Liu
With the increase of the scale of the knowledge base, it’s important to answer question over knowledge base. In this paper, we will introduce a method to extract answers from Chinese knowledge base for Chinese questions. Our method uses a classifier to judge whether the relation in the triple is what the question asked, question-relation pairs are used to train the classifier. It’s difficult to identify the right relation, so we find out the focus of the question and leverage the resource of lexical paraphrase in the preprocessing of the question. And the use of lexical paraphrase also can alleviate the out of vocabulary (OOV) problem. In order to let the right answer at the top of candidate answers, we present a ranking method to rank these candidate answers. The result of the final evaluation shows that our method achieves a good result.
