A Deep Learning Approach for Question Answering over Knowledge Base
With the increase of the scale of the knowledge base,its 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.Its 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.
Linjie Wang Yu Zhang Ting Liu
Harbin Institute of Technology,Harbin,China
国际会议
第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)
昆明
英文
1-8
2016-12-02（万方平台首次上网日期，不代表论文的发表时间）