A bootstrapping approach for chinese main verb identification

Chunxia Zhang; Cungen Cao; Zhendong Niu

doi:10.1007/978-3-540-74819-9_72

A bootstrapping approach for chinese main verb identification

Chunxia Zhang^*, Cungen Cao, Zhendong Niu

^*此作品的通讯作者

计算机学院

CAS - Institute of Computing Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The task of main verb identification is to recognize the predicate-verb in a sentence. This task plays a crucial role in various areas such as knowledge acquisition, text mining, and question answering, and is also an important preprocessing for many applications including sentence pattern analysis and semantic roles identification. This paper proposes a domain-independent bootstrapping method to automatically identify main verbs of sentences from unannotated domain-specific Chinese unstructured texts. Experimental results in two domains show that the algorithm is promising. As applications of the main verb identification, we have developed a main verb driven approach of extracting domain-specific terms from unstructured text corpus.

源语言	英语
主期刊名	Knowledge-Based Intelligent Information and Engineering Systems
主期刊副标题	KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
出版商	Springer Verlag
页	580-587
页数	8
版本	PART 1
ISBN（印刷版）	9783540748175
DOI	https://doi.org/10.1007/978-3-540-74819-9_72
出版状态	已出版 - 2007
活动	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare, 意大利期限: 12 9月 2007 → 14 9月 2007

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	PART 1
卷	4692 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
国家/地区	意大利
市	Vietri sul Mare
时期	12/09/07 → 14/09/07

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10.1007/978-3-540-74819-9_72

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, C., Cao, C., & Niu, Z. (2007). A bootstrapping approach for chinese main verb identification. 在 Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings (PART 1 编辑, 页码 580-587). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4692 LNAI, 号码 PART 1). Springer Verlag. https://doi.org/10.1007/978-3-540-74819-9_72

Zhang, Chunxia ; Cao, Cungen ; Niu, Zhendong. / A bootstrapping approach for chinese main verb identification. Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 1. 编辑 Springer Verlag, 2007. 页码 580-587 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "A bootstrapping approach for chinese main verb identification",

abstract = "The task of main verb identification is to recognize the predicate-verb in a sentence. This task plays a crucial role in various areas such as knowledge acquisition, text mining, and question answering, and is also an important preprocessing for many applications including sentence pattern analysis and semantic roles identification. This paper proposes a domain-independent bootstrapping method to automatically identify main verbs of sentences from unannotated domain-specific Chinese unstructured texts. Experimental results in two domains show that the algorithm is promising. As applications of the main verb identification, we have developed a main verb driven approach of extracting domain-specific terms from unstructured text corpus.",

keywords = "Bootstrapping method, Domain-specific texts, Main verb identification, Term extraction",

author = "Chunxia Zhang and Cungen Cao and Zhendong Niu",

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Zhang, C, Cao, C & Niu, Z 2007, A bootstrapping approach for chinese main verb identification. 在 Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 1 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 PART 1, 卷 4692 LNAI, Springer Verlag, 页码 580-587, 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007, Vietri sul Mare, 意大利, 12/09/07. https://doi.org/10.1007/978-3-540-74819-9_72

A bootstrapping approach for chinese main verb identification. / Zhang, Chunxia; Cao, Cungen; Niu, Zhendong.
Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 1. 编辑 Springer Verlag, 2007. 页码 580-587 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4692 LNAI, 号码 PART 1).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A bootstrapping approach for chinese main verb identification

AU - Zhang, Chunxia

AU - Cao, Cungen

AU - Niu, Zhendong

PY - 2007

Y1 - 2007

N2 - The task of main verb identification is to recognize the predicate-verb in a sentence. This task plays a crucial role in various areas such as knowledge acquisition, text mining, and question answering, and is also an important preprocessing for many applications including sentence pattern analysis and semantic roles identification. This paper proposes a domain-independent bootstrapping method to automatically identify main verbs of sentences from unannotated domain-specific Chinese unstructured texts. Experimental results in two domains show that the algorithm is promising. As applications of the main verb identification, we have developed a main verb driven approach of extracting domain-specific terms from unstructured text corpus.

AB - The task of main verb identification is to recognize the predicate-verb in a sentence. This task plays a crucial role in various areas such as knowledge acquisition, text mining, and question answering, and is also an important preprocessing for many applications including sentence pattern analysis and semantic roles identification. This paper proposes a domain-independent bootstrapping method to automatically identify main verbs of sentences from unannotated domain-specific Chinese unstructured texts. Experimental results in two domains show that the algorithm is promising. As applications of the main verb identification, we have developed a main verb driven approach of extracting domain-specific terms from unstructured text corpus.

KW - Bootstrapping method

KW - Domain-specific texts

KW - Main verb identification

KW - Term extraction

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U2 - 10.1007/978-3-540-74819-9_72

DO - 10.1007/978-3-540-74819-9_72

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AN - SCOPUS:38049158293

SN - 9783540748175

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

SP - 580

EP - 587

BT - Knowledge-Based Intelligent Information and Engineering Systems

PB - Springer Verlag

T2 - 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007

Y2 - 12 September 2007 through 14 September 2007

ER -

Zhang C, Cao C, Niu Z. A bootstrapping approach for chinese main verb identification. 在 Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings. PART 1 编辑 Springer Verlag. 2007. 页码 580-587. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-74819-9_72

A bootstrapping approach for chinese main verb identification

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此