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

^*Corresponding author for this work

School of Computer Science and Technology

CAS - Institute of Computing Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Knowledge-Based Intelligent Information and Engineering Systems
Subtitle of host publication	KES 2007 - WIRN 2007 - 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Proceedings
Publisher	Springer Verlag
Pages	580-587
Number of pages	8
Edition	PART 1
ISBN (Print)	9783540748175
DOIs	https://doi.org/10.1007/978-3-540-74819-9_72
Publication status	Published - 2007
Event	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, Italy Duration: 12 Sept 2007 → 14 Sept 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	4692 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Country/Territory	Italy
City	Vietri sul Mare
Period	12/09/07 → 14/09/07

Keywords

Bootstrapping method
Domain-specific texts
Main verb identification
Term extraction

Access to Document

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

Cite this

Zhang, C., Cao, C., & Niu, Z. (2007). A bootstrapping approach for chinese main verb identification. In 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 ed., pp. 580-587). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4692 LNAI, No. 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. ed. Springer Verlag, 2007. pp. 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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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",

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booktitle = "Knowledge-Based Intelligent Information and Engineering Systems",

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Zhang, C, Cao, C & Niu, Z 2007, A bootstrapping approach for chinese main verb identification. in 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 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4692 LNAI, Springer Verlag, pp. 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, Italy, 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. ed. Springer Verlag, 2007. p. 580-587 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4692 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Cao, Cungen

AU - Niu, Zhendong

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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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SN - 9783540748175

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

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BT - Knowledge-Based Intelligent Information and Engineering Systems

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Zhang C, Cao C, Niu Z. A bootstrapping approach for chinese main verb identification. In 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 ed. Springer Verlag. 2007. p. 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

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