CEQA - An open source chinese question answer system based on linked knowledge

Zeyu Du; Yan Yang; Qinming Hu; Liang He

doi:10.1007/978-3-319-39958-4-G

CEQA - An open source chinese question answer system based on linked knowledge

Zeyu Du
, Yan Yang^*
, Qinming Hu
, Liang He

^*此作品的通讯作者

计算机科学与技术学院

East China Normal University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this paper, we proposed an open source Chinese question answer system (CEQA), which focuses on the field of E-commerce question answer system. Particularly, CEQA is able to improve the performance in these aspects compared with the traditional method: ChineseEnglish mixed commodity name identification, semantic link and dependency parsing of complex questions, linking knowledge to natural language. Specifically, the key algorithm utilized in CEQA includes Conditional Random field and Word2Vec. Finally, we evaluate the CEQA on the open data sets, where our experimental results show that our approach is promising and superior. A demonstration video has been published at http://t.cn/RbkKklF.

源语言	英语
主期刊名	Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings
编辑	Bin Cui, Xiang Lian, Dexi Liu, Nan Zhang, Jianliang Xu
出版商	Springer Verlag
页	540-543
页数	4
ISBN（印刷版）	9783319399577
DOI	https://doi.org/10.1007/978-3-319-39958-4-G
出版状态	已出版 - 2016
活动	17th International Conference on Web-Age Information Management, WAIM 2016 - Nanchang, 中国期限: 3 6月 2016 → 5 6月 2016

丛书

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	9659
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	17th International Conference on Web-Age Information Management, WAIM 2016
国家/地区	中国
市	Nanchang
时期	3/06/16 → 5/06/16

访问文件

10.1007/978-3-319-39958-4-G

其它文件与链接

链接到 Scopus 的出版物

引用此

Du, Z., Yang, Y., Hu, Q., & He, L. (2016). CEQA - An open source chinese question answer system based on linked knowledge. 在 B. Cui, X. Lian, D. Liu, N. Zhang, & J. Xu (版本), Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings (页码 540-543). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9659). Springer Verlag. https://doi.org/10.1007/978-3-319-39958-4-G

Du, Zeyu ; Yang, Yan ; Hu, Qinming 等. / CEQA - An open source chinese question answer system based on linked knowledge. Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings. 编辑 / Bin Cui ; Xiang Lian ; Dexi Liu ; Nan Zhang ; Jianliang Xu. Springer Verlag, 2016. 页码 540-543 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{370903d25dc14f2a94939efe24b59307,

title = "CEQA - An open source chinese question answer system based on linked knowledge",

abstract = "In this paper, we proposed an open source Chinese question answer system (CEQA), which focuses on the field of E-commerce question answer system. Particularly, CEQA is able to improve the performance in these aspects compared with the traditional method: ChineseEnglish mixed commodity name identification, semantic link and dependency parsing of complex questions, linking knowledge to natural language. Specifically, the key algorithm utilized in CEQA includes Conditional Random field and Word2Vec. Finally, we evaluate the CEQA on the open data sets, where our experimental results show that our approach is promising and superior. A demonstration video has been published at http://t.cn/RbkKklF.",

author = "Zeyu Du and Yan Yang and Qinming Hu and Liang He",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 17th International Conference on Web-Age Information Management, WAIM 2016 ; Conference date: 03-06-2016 Through 05-06-2016",

year = "2016",

doi = "10.1007/978-3-319-39958-4-G",

language = "英语",

isbn = "9783319399577",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "540--543",

editor = "Bin Cui and Xiang Lian and Dexi Liu and Nan Zhang and Jianliang Xu",

booktitle = "Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings",

address = "德国",

}

Du, Z, Yang, Y, Hu, Q & He, L 2016, CEQA - An open source chinese question answer system based on linked knowledge. 在 B Cui, X Lian, D Liu, N Zhang & J Xu (版本), Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 9659, Springer Verlag, 页码 540-543, 17th International Conference on Web-Age Information Management, WAIM 2016, Nanchang, 中国, 3/06/16. https://doi.org/10.1007/978-3-319-39958-4-G

CEQA - An open source chinese question answer system based on linked knowledge. / Du, Zeyu; Yang, Yan; Hu, Qinming 等.
Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings. 编辑 / Bin Cui; Xiang Lian; Dexi Liu; Nan Zhang; Jianliang Xu. Springer Verlag, 2016. 页码 540-543 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9659).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - CEQA - An open source chinese question answer system based on linked knowledge

AU - Du, Zeyu

AU - Yang, Yan

AU - Hu, Qinming

AU - He, Liang

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - In this paper, we proposed an open source Chinese question answer system (CEQA), which focuses on the field of E-commerce question answer system. Particularly, CEQA is able to improve the performance in these aspects compared with the traditional method: ChineseEnglish mixed commodity name identification, semantic link and dependency parsing of complex questions, linking knowledge to natural language. Specifically, the key algorithm utilized in CEQA includes Conditional Random field and Word2Vec. Finally, we evaluate the CEQA on the open data sets, where our experimental results show that our approach is promising and superior. A demonstration video has been published at http://t.cn/RbkKklF.

AB - In this paper, we proposed an open source Chinese question answer system (CEQA), which focuses on the field of E-commerce question answer system. Particularly, CEQA is able to improve the performance in these aspects compared with the traditional method: ChineseEnglish mixed commodity name identification, semantic link and dependency parsing of complex questions, linking knowledge to natural language. Specifically, the key algorithm utilized in CEQA includes Conditional Random field and Word2Vec. Finally, we evaluate the CEQA on the open data sets, where our experimental results show that our approach is promising and superior. A demonstration video has been published at http://t.cn/RbkKklF.

UR - https://www.scopus.com/pages/publications/84976624193

U2 - 10.1007/978-3-319-39958-4-G

DO - 10.1007/978-3-319-39958-4-G

M3 - 会议稿件

AN - SCOPUS:84976624193

SN - 9783319399577

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 540

EP - 543

BT - Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings

A2 - Cui, Bin

A2 - Lian, Xiang

A2 - Liu, Dexi

A2 - Zhang, Nan

A2 - Xu, Jianliang

PB - Springer Verlag

T2 - 17th International Conference on Web-Age Information Management, WAIM 2016

Y2 - 3 June 2016 through 5 June 2016

ER -

Du Z, Yang Y, Hu Q, He L. CEQA - An open source chinese question answer system based on linked knowledge. 在 Cui B, Lian X, Liu D, Zhang N, Xu J, 编辑, Web-Age Information Management - 17th International Conference, WAIM 2016, Proceedings. Springer Verlag. 2016. 页码 540-543. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-39958-4-G

CEQA - An open source chinese question answer system based on linked knowledge

摘要

丛书

会议

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学术指纹

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