Computer Science ›› 2015, Vol. 42 ›› Issue (12): 23-25.

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Mailing List Based QA Information Extraction Approach

LUO Yu-xiang, ZOU Yan-zhen, JIN Yong and XIE Bing   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Open source projects often provide mailing lists to help users better understand and use open source software.However,developers often spend a lot of time to retrieve the emails when they want to find a special answer,because there are a huge number of emails with unclear question and complex organization.User usually take a lot of email conversations before they get a right answer.In the paper,we proposed and implemented a question & answer information extraction approach based on open source software’s mailing list.It can automatically extract the question sentence and the corresponding best answer from the emails,which can help users search mailing list and learn open source software more effectively.We also did some experiments to verify the availability and the efficiency of our approach.

Key words: Software reuse,Data mining,Mailing list,Software question & answer

[1] 金庸.基于邮件列表的软件问答信息抽取工具的设计与实现 [D].北京:北京大学,2014 Jin Yong.A design and implementation of software R&A extraction tool based on maillists[D].Beijing:Peking University,2014
[2] Fournier-Viger P.Spmf:A sequential pattern mining framework .http://www.philippe-fournier-viger.com/spmf,2011
[3] 肖仁财.序列模式挖掘算法研究与实现[ D].南京:江苏大学,2007 Xiao Ren-cai.A research and implementation of sequential pattern mining algorithm[D].Nanjing:Jiangsu University,2007
[4] Belkin,Nicholas J,et al.Query length in interactive information retrieval[C]∥Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.ACM,2003
[5] Salton,Gerard,Wong A,et al.A vector space model for automatic indexing [J].Communications of the ACM, 1975,18(11):613-620
[6] Cong G,Wang L,Lin C Y,et al.Finding question-answer pairs from online forums[C]∥Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.ACM,2008:467-474
[7] Wang Kai,Chua T-S.Exploiting salient patterns for question detection and question retrieval in community-based question answering [C]∥Proceedings of the 23rd International Conference on Computational Linguistics.2010

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