Entity relationship extraction based on potential relationship pattern

Chen Chen; Huilin Liu; Guoren Wang; Linlin Ding; Lili Yu

doi:10.1007/978-3-642-16515-3_46

Entity relationship extraction based on potential relationship pattern

Chen Chen^*
, Huilin Liu
, Guoren Wang
, Linlin Ding
, Lili Yu

^*此作品的通讯作者

Northeastern University China
Neusoft Corporation

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

The keep rising of web information ensures the development of entity focused information retrieval system. However, the problem of mining the relationships effectively between entities has not been well resolved. For the entity relationship extraction (RE) problem, this paper firstly establishes the basic pattern trees which can present the overall relation structures and then designs a similarity function according to which we can judge which pattern the sentence containing two entities belongs to. Knowing the matched pattern, we can discovery the relationship easily. By a large number of experiments on real data, the proposed methods are proved running accurately and efficiently.

源语言	英语
主期刊名	Web Information Systems and Mining - International Conference, WISM 2010, Proceedings
页	370-377
页数	8
版本	M4D
DOI	https://doi.org/10.1007/978-3-642-16515-3_46
出版状态	已出版 - 2010
已对外发布	是
活动	2010 International Conference on Web Information Systems and Mining, WISM 2010 - Sanya, 中国期限: 23 10月 2010 → 24 10月 2010

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号	M4D
卷	6318 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	2010 International Conference on Web Information Systems and Mining, WISM 2010
国家/地区	中国
市	Sanya
时期	23/10/10 → 24/10/10

访问文件

10.1007/978-3-642-16515-3_46

其它文件与链接

链接到 Scopus 的出版物

引用此

Chen, C., Liu, H., Wang, G., Ding, L., & Yu, L. (2010). Entity relationship extraction based on potential relationship pattern. 在 Web Information Systems and Mining - International Conference, WISM 2010, Proceedings (M4D 编辑, 页码 370-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 6318 LNCS, 号码 M4D). https://doi.org/10.1007/978-3-642-16515-3_46

Chen, Chen ; Liu, Huilin ; Wang, Guoren 等. / Entity relationship extraction based on potential relationship pattern. Web Information Systems and Mining - International Conference, WISM 2010, Proceedings. M4D. 编辑 2010. 页码 370-377 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); M4D).

@inproceedings{1cc30e7055d244caa5cdf7554f568bbd,

title = "Entity relationship extraction based on potential relationship pattern",

abstract = "The keep rising of web information ensures the development of entity focused information retrieval system. However, the problem of mining the relationships effectively between entities has not been well resolved. For the entity relationship extraction (RE) problem, this paper firstly establishes the basic pattern trees which can present the overall relation structures and then designs a similarity function according to which we can judge which pattern the sentence containing two entities belongs to. Knowing the matched pattern, we can discovery the relationship easily. By a large number of experiments on real data, the proposed methods are proved running accurately and efficiently.",

keywords = "Entity, Pattern, Relationship extraction, Similarity function",

author = "Chen Chen and Huilin Liu and Guoren Wang and Linlin Ding and Lili Yu",

year = "2010",

doi = "10.1007/978-3-642-16515-3\_46",

language = "English",

isbn = "3642165141",

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

number = "M4D",

pages = "370--377",

booktitle = "Web Information Systems and Mining - International Conference, WISM 2010, Proceedings",

edition = "M4D",

note = "2010 International Conference on Web Information Systems and Mining, WISM 2010 ; Conference date: 23-10-2010 Through 24-10-2010",

}

Chen, C, Liu, H, Wang, G, Ding, L & Yu, L 2010, Entity relationship extraction based on potential relationship pattern. 在 Web Information Systems and Mining - International Conference, WISM 2010, Proceedings. M4D 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 M4D, 卷 6318 LNCS, 页码 370-377, 2010 International Conference on Web Information Systems and Mining, WISM 2010, Sanya, 中国, 23/10/10. https://doi.org/10.1007/978-3-642-16515-3_46

Entity relationship extraction based on potential relationship pattern. / Chen, Chen; Liu, Huilin; Wang, Guoren 等.
Web Information Systems and Mining - International Conference, WISM 2010, Proceedings. M4D. 编辑 2010. 页码 370-377 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 6318 LNCS, 号码 M4D).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Entity relationship extraction based on potential relationship pattern

AU - Chen, Chen

AU - Liu, Huilin

AU - Wang, Guoren

AU - Ding, Linlin

AU - Yu, Lili

PY - 2010

Y1 - 2010

N2 - The keep rising of web information ensures the development of entity focused information retrieval system. However, the problem of mining the relationships effectively between entities has not been well resolved. For the entity relationship extraction (RE) problem, this paper firstly establishes the basic pattern trees which can present the overall relation structures and then designs a similarity function according to which we can judge which pattern the sentence containing two entities belongs to. Knowing the matched pattern, we can discovery the relationship easily. By a large number of experiments on real data, the proposed methods are proved running accurately and efficiently.

AB - The keep rising of web information ensures the development of entity focused information retrieval system. However, the problem of mining the relationships effectively between entities has not been well resolved. For the entity relationship extraction (RE) problem, this paper firstly establishes the basic pattern trees which can present the overall relation structures and then designs a similarity function according to which we can judge which pattern the sentence containing two entities belongs to. Knowing the matched pattern, we can discovery the relationship easily. By a large number of experiments on real data, the proposed methods are proved running accurately and efficiently.

KW - Entity

KW - Pattern

KW - Relationship extraction

KW - Similarity function

UR - https://www.scopus.com/pages/publications/78649509188

U2 - 10.1007/978-3-642-16515-3_46

DO - 10.1007/978-3-642-16515-3_46

M3 - Conference contribution

AN - SCOPUS:78649509188

SN - 3642165141

SN - 9783642165146

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

SP - 370

EP - 377

BT - Web Information Systems and Mining - International Conference, WISM 2010, Proceedings

T2 - 2010 International Conference on Web Information Systems and Mining, WISM 2010

Y2 - 23 October 2010 through 24 October 2010

ER -

Chen C, Liu H, Wang G, Ding L, Yu L. Entity relationship extraction based on potential relationship pattern. 在 Web Information Systems and Mining - International Conference, WISM 2010, Proceedings. M4D 编辑 2010. 页码 370-377. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); M4D). doi: 10.1007/978-3-642-16515-3_46

Entity relationship extraction based on potential relationship pattern

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