CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization
Zhou, Guangyou1; Xie, Zhiwen1; He, Tingting1; Zhao, Jun1,2; Hu, Xiaohua Tony1,3
2016-07-01
发表期刊IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
卷号24期号:7页码:1305-1314
文章类型Article
摘要Community question answering (CQA) has become an increasingly popular research topic. In this paper, we focus on the problem of question retrieval. Question retrieval in CQA can automatically find the most relevant and recent questions that have been solved by other users. However, the word ambiguity and word mismatch problems bring about new challenges for question retrieval in CQA. State-of-the-art approaches address these issues by implicitly expanding the queried questions with additional words or phrases using monolingual translation models. While useful, the effectiveness of these models is highly dependent on the availability of quality parallel monolingual corpora (e. g., question-answer pairs) in the absence of which they are troubled by noise issues. In this work, we propose an alternative way to address the word ambiguity and word mismatch problems by taking advantage of potentially rich semantic information drawn from other languages. Our proposed method employs statistical machine translation to improve question retrieval and enriches the question representation with the translated words from other languages via non-negative matrix factorization. Experiments conducted on real CQA data sets show that our proposed approach is promising.
关键词Natural Language Processing Information Retrieval Community Question Answering Question Retrieval Text Mining
WOS标题词Science & Technology ; Technology
DOI10.1109/TASLP.2016.2544661
关键词[WOS]MODEL
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61303180 ; 61573163)
WOS研究方向Acoustics ; Engineering
WOS类目Acoustics ; Engineering, Electrical & Electronic
WOS记录号WOS:000377455600001
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12182
专题模式识别国家重点实验室_自然语言处理
作者单位1.Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
3.Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA
推荐引用方式
GB/T 7714
Zhou, Guangyou,Xie, Zhiwen,He, Tingting,et al. Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization[J]. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,2016,24(7):1305-1314.
APA Zhou, Guangyou,Xie, Zhiwen,He, Tingting,Zhao, Jun,&Hu, Xiaohua Tony.(2016).Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization.IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING,24(7),1305-1314.
MLA Zhou, Guangyou,et al."Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization".IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 24.7(2016):1305-1314.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhou, Guangyou]的文章
[Xie, Zhiwen]的文章
[He, Tingting]的文章
百度学术
百度学术中相似的文章
[Zhou, Guangyou]的文章
[Xie, Zhiwen]的文章
[He, Tingting]的文章
必应学术
必应学术中相似的文章
[Zhou, Guangyou]的文章
[Xie, Zhiwen]的文章
[He, Tingting]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。