[1]杨海天,王健,林鸿飞.基于特征融合的社区问答问句相似度计算[J].江西师范大学学报(自然科学版),2013,(02):125-129.
　YANG Hai-tian,WANG Jian,LIN Hong-fei.Question Similarity Calculation Based on Feature Fusion in Community Question Answering[J].Journal of Jiangxi Normal University:Natural Science Edition,2013,(02):125-129.
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基于特征融合的社区问答问句相似度计算()
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《江西师范大学学报》（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年02期
页码:
125-129
栏目:
出版日期:
2013-03-01

文章信息/Info

Title:
Question Similarity Calculation Based on Feature Fusion in Community Question Answering
作者:
杨海天;王健;林鸿飞
大连理工大学信息检索研究室,辽宁大连,116024
Author(s):
YANG Hai-tian；WANG Jian；LIN Hong-fei
关键词:
问句相似度; 社区问答; 相似度计算; 特征融合
Keywords:
questions similarity; community question answering; similarity calculation; feature fusion
分类号:
TP391
文献标志码:
A
摘要:
提出了一种基于特征融合的问句匹配框架来解决问句相似度检测方法,利用答案特征、词序特征、统计特征和语义特征相结合来解决问句相似度计算问题.在Yahoo!Answers上抽取的真实标注数据集上进行实验,实验结果表明:该方法在性能上得到了较好的结果.
Abstract:
A testing method based on the framework combining different features with the characteristic of the answer,the word order characteristic,the statistical characteristic and semantic characteristic is proposed to caculate question simularity of question answering.The experiments on the true labeling dataset extracted from the Yahoo! Answers shows that the proposed method achieves a better performance.

参考文献/References:

[1] Burke R D,Hammond K J,Kulyukin V A,et al.Question answering from frequently asked question files:experiments with the faq finder system [J].AI Magazine,1997,18(2):57-66.
[2] Jijkoun V,Rijke M D.Retrieving answers from frequently asked questions pages on the web [C].Bremen:CIKM,2005:84-90.
[3] Cao Xin,Cong Gao,Cui Bin,et al.The use of categorization information in language models for question retrieval [C].Hong Kong:CIKM,2009:256-274.
[4] Duan Huizhong,Cao Yunbo,Lin C Y,et al.Searching questions by identifying questions topic and question focus [C].Columbus:HLT,2008:156-164.
[5] Xue Xiaobing,Jeon J,Croft W B.Retrieval models for question and answer archives [C].New York:NY,2008:475-482.
[6] Song Wanpeng,Feng Maijie,Gu Naijie,et al.Question similarity calculation for FAQ answering [C].New York:SKG,2007:298-301.
[7] Collins M,Duffy N.Convolution kernels for natural language [M].massachusetts:MIT Press,2001:625-632.
[8] Wang Kai,Ming Zhaoyan,Chua T S.A syntactic tree matching approach to finding similar questions in community-based QA services [C].Boston:MA,2009:187-194.
[9] Jeon J,Croft W,Lee J.Finding semantic similar questions based on their answers [C].New York:ACM Press,2005:617-618.
[10] 吕学强,任飞亮,黄志丹,等.句子相似模型和最相似句子查找算法 [J].东北大学学报:自然科学版,2003,24(6):531-534.
[11] Zhang Yaoyun,Wang Xiaolong,Wang Xuan,et al.Diversifying question recommendations in community-based question answering [C].Berlin:Springer,2011:177-186.
[12] Wang Jun,Li Zhoujun,Hu Biyun.A context approach to measuring similarity between questions in the community-based QA services [J].Fuzzy Systems and Knowledge Discovery,2010,5:2408-2411.
[13] Xu Jinxi,Croft W B.Query expansion using local and global document analysis [C].Zurich:ACM,1996:4-11.
[14] Wang Xuanhui,Zhai Chengxiang.Mining term association patterns from search logs for effective query reformulation [C].California:CIKM,2008:479-488.

备注/Memo

备注/Memo:
国家自然科学基金(61272370,60973068)；辽宁省自然科学基金(201202031)
更新日期/Last Update: 1900-01-01