Extracting hyponymy relations from domain-specific free texts

Chun Xia Zhang; Cun Gen Cao; Lei Liu; Zhen Dong Niu; Jun Hong Lin

doi:10.1109/ICMLC.2007.4370728

Extracting hyponymy relations from domain-specific free texts

Chun Xia Zhang^*, Cun Gen Cao, Lei Liu, Zhen Dong Niu, Jun Hong Lin

^*此作品的通讯作者

计算机学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

5 引用（Scopus）

摘要

Domain-specific ontologies have shown their powerful usefulness in many application areas, such as semantic web, information sharing, and natural language processing. However, manually building of domain ontologies still remains a tedious and cumbersome task. Hyponymy is a core component of domain-specific ontologies. In this paper, we propose three symbolic learning methods, which are integrated together to extract hyponymies from un-annotated domain-specific Chinese free texts. The three symbolic learning methods include seed-driven learning, pattern-mediated learning, and term composition based learning. Experimental results show that the algorithm is adequate to extracting the hyponymies from unstructured domain-specific Chinese corpus.

源语言	英语
主期刊名	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
页	3360-3365
页数	6
DOI	https://doi.org/10.1109/ICMLC.2007.4370728
出版状态	已出版 - 2007
活动	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, 中国期限: 19 8月 2007 → 22 8月 2007

出版系列

姓名	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
卷	6

会议

会议	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
国家/地区	中国
市	Hong Kong
时期	19/08/07 → 22/08/07

访问文件

10.1109/ICMLC.2007.4370728

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链接到 Scopus 的出版物

引用此

Zhang, C. X., Cao, C. G., Liu, L., Niu, Z. D., & Lin, J. H. (2007). Extracting hyponymy relations from domain-specific free texts. 在 Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007 (页码 3360-3365). 文章 4370728 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; 卷 6). https://doi.org/10.1109/ICMLC.2007.4370728

@inproceedings{7f9a1e2aaad64de5806faeb4320ff6a8,

title = "Extracting hyponymy relations from domain-specific free texts",

abstract = "Domain-specific ontologies have shown their powerful usefulness in many application areas, such as semantic web, information sharing, and natural language processing. However, manually building of domain ontologies still remains a tedious and cumbersome task. Hyponymy is a core component of domain-specific ontologies. In this paper, we propose three symbolic learning methods, which are integrated together to extract hyponymies from un-annotated domain-specific Chinese free texts. The three symbolic learning methods include seed-driven learning, pattern-mediated learning, and term composition based learning. Experimental results show that the algorithm is adequate to extracting the hyponymies from unstructured domain-specific Chinese corpus.",

keywords = "Boundary features of domain-specific terms, Domain-specific ontology, Hyponymy extraction, Pattern-matching conflict, Seed-driven learning",

author = "Zhang, {Chun Xia} and Cao, {Cun Gen} and Lei Liu and Niu, {Zhen Dong} and Lin, {Jun Hong}",

year = "2007",

doi = "10.1109/ICMLC.2007.4370728",

language = "English",

isbn = "142440973X",

series = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

pages = "3360--3365",

booktitle = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

note = "6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 ; Conference date: 19-08-2007 Through 22-08-2007",

}

Zhang, CX, Cao, CG, Liu, L, Niu, ZD & Lin, JH 2007, Extracting hyponymy relations from domain-specific free texts. 在 Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007., 4370728, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, 卷 6, 页码 3360-3365, 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, Hong Kong, 中国, 19/08/07. https://doi.org/10.1109/ICMLC.2007.4370728

Extracting hyponymy relations from domain-specific free texts. / Zhang, Chun Xia; Cao, Cun Gen; Liu, Lei 等.
Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. 页码 3360-3365 4370728 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; 卷 6).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Extracting hyponymy relations from domain-specific free texts

AU - Zhang, Chun Xia

AU - Cao, Cun Gen

AU - Liu, Lei

AU - Niu, Zhen Dong

AU - Lin, Jun Hong

PY - 2007

Y1 - 2007

N2 - Domain-specific ontologies have shown their powerful usefulness in many application areas, such as semantic web, information sharing, and natural language processing. However, manually building of domain ontologies still remains a tedious and cumbersome task. Hyponymy is a core component of domain-specific ontologies. In this paper, we propose three symbolic learning methods, which are integrated together to extract hyponymies from un-annotated domain-specific Chinese free texts. The three symbolic learning methods include seed-driven learning, pattern-mediated learning, and term composition based learning. Experimental results show that the algorithm is adequate to extracting the hyponymies from unstructured domain-specific Chinese corpus.

AB - Domain-specific ontologies have shown their powerful usefulness in many application areas, such as semantic web, information sharing, and natural language processing. However, manually building of domain ontologies still remains a tedious and cumbersome task. Hyponymy is a core component of domain-specific ontologies. In this paper, we propose three symbolic learning methods, which are integrated together to extract hyponymies from un-annotated domain-specific Chinese free texts. The three symbolic learning methods include seed-driven learning, pattern-mediated learning, and term composition based learning. Experimental results show that the algorithm is adequate to extracting the hyponymies from unstructured domain-specific Chinese corpus.

KW - Boundary features of domain-specific terms

KW - Domain-specific ontology

KW - Hyponymy extraction

KW - Pattern-matching conflict

KW - Seed-driven learning

UR - http://www.scopus.com/inward/record.url?scp=38049002500&partnerID=8YFLogxK

U2 - 10.1109/ICMLC.2007.4370728

DO - 10.1109/ICMLC.2007.4370728

M3 - Conference contribution

AN - SCOPUS:38049002500

SN - 142440973X

SN - 9781424409730

T3 - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

SP - 3360

EP - 3365

BT - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

T2 - 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007

Y2 - 19 August 2007 through 22 August 2007

ER -

Zhang CX, Cao CG, Liu L, Niu ZD, Lin JH. Extracting hyponymy relations from domain-specific free texts. 在 Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. 页码 3360-3365. 4370728. (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007). doi: 10.1109/ICMLC.2007.4370728

Extracting hyponymy relations from domain-specific free texts

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