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
Source PublicationIEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2016-07-01
Volume24Issue:7Pages:1305-1314
SubtypeArticle
AbstractCommunity 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.
KeywordNatural Language Processing Information Retrieval Community Question Answering Question Retrieval Text Mining
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TASLP.2016.2544661
WOS KeywordMODEL
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61303180 ; 61573163)
WOS Research AreaAcoustics ; Engineering
WOS SubjectAcoustics ; Engineering, Electrical & Electronic
WOS IDWOS:000377455600001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12182
Collection模式识别国家重点实验室_自然语言处理
Affiliation1.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
Recommended Citation
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.
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