Chinese comparative sentence identification based on the combination of rules and statistics

Quanchao Liu; Heyan Huang; Chen Zhang; Zhenzhao Chen; Jiajun Chen

doi:10.1007/978-3-642-53917-6_27

Chinese comparative sentence identification based on the combination of rules and statistics

Quanchao Liu, Heyan Huang, Chen Zhang, Zhenzhao Chen, Jiajun Chen

School of Computer Science and Technology

Beijing Institute of Technology

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

11 Citations (Scopus)

Abstract

Opinions always carry important information of texts, but comparative sentence is a common way to express opinions. We describe how to recognize comparative sentences from Chinese text documents by combining rule-based methods and statistical methods as well as analyze the performance of these methods. The method firstly normalizes the corpus and Chinese word segmentation, and then gets the broad extraction results by using comparative words, sentence structure templates and dependency relation analysis. Finally we take CSR, comparative words and statistical feature words as classification features of SVM to accurately identify comparative sentences in the broad extraction results. The experiments with COAE 2013's test data show that our approach provides better performance than the baselines and most systems reported at CCIR 2013.

Original language	English
Title of host publication	Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings
Pages	300-310
Number of pages	11
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-53917-6_27
Publication status	Published - 2013
Event	9th International Conference on Advanced Data Mining and Applications, ADMA 2013 - Hangzhou, China Duration: 14 Dec 2013 → 16 Dec 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8347 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Conference on Advanced Data Mining and Applications, ADMA 2013
Country/Territory	China
City	Hangzhou
Period	14/12/13 → 16/12/13

Keywords

CRF
CSR
Chinese Comparative Sentence
Comparative Sentence
SVM

Access to Document

10.1007/978-3-642-53917-6_27

Cite this

Liu, Q., Huang, H., Zhang, C., Chen, Z., & Chen, J. (2013). Chinese comparative sentence identification based on the combination of rules and statistics. In Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings (PART 2 ed., pp. 300-310). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8347 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-53917-6_27

Liu, Quanchao ; Huang, Heyan ; Zhang, Chen et al. / Chinese comparative sentence identification based on the combination of rules and statistics. Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings. PART 2. ed. 2013. pp. 300-310 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Chinese comparative sentence identification based on the combination of rules and statistics",

abstract = "Opinions always carry important information of texts, but comparative sentence is a common way to express opinions. We describe how to recognize comparative sentences from Chinese text documents by combining rule-based methods and statistical methods as well as analyze the performance of these methods. The method firstly normalizes the corpus and Chinese word segmentation, and then gets the broad extraction results by using comparative words, sentence structure templates and dependency relation analysis. Finally we take CSR, comparative words and statistical feature words as classification features of SVM to accurately identify comparative sentences in the broad extraction results. The experiments with COAE 2013's test data show that our approach provides better performance than the baselines and most systems reported at CCIR 2013.",

keywords = "CRF, CSR, Chinese Comparative Sentence, Comparative Sentence, SVM",

author = "Quanchao Liu and Heyan Huang and Chen Zhang and Zhenzhao Chen and Jiajun Chen",

year = "2013",

doi = "10.1007/978-3-642-53917-6_27",

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

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booktitle = "Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings",

edition = "PART 2",

note = "9th International Conference on Advanced Data Mining and Applications, ADMA 2013 ; Conference date: 14-12-2013 Through 16-12-2013",

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Liu, Q, Huang, H, Zhang, C, Chen, Z & Chen, J 2013, Chinese comparative sentence identification based on the combination of rules and statistics. in Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8347 LNAI, pp. 300-310, 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, Hangzhou, China, 14/12/13. https://doi.org/10.1007/978-3-642-53917-6_27

Chinese comparative sentence identification based on the combination of rules and statistics. / Liu, Quanchao; Huang, Heyan; Zhang, Chen et al.
Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings. PART 2. ed. 2013. p. 300-310 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8347 LNAI, No. PART 2).

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

TY - GEN

T1 - Chinese comparative sentence identification based on the combination of rules and statistics

AU - Liu, Quanchao

AU - Huang, Heyan

AU - Zhang, Chen

AU - Chen, Zhenzhao

AU - Chen, Jiajun

PY - 2013

Y1 - 2013

N2 - Opinions always carry important information of texts, but comparative sentence is a common way to express opinions. We describe how to recognize comparative sentences from Chinese text documents by combining rule-based methods and statistical methods as well as analyze the performance of these methods. The method firstly normalizes the corpus and Chinese word segmentation, and then gets the broad extraction results by using comparative words, sentence structure templates and dependency relation analysis. Finally we take CSR, comparative words and statistical feature words as classification features of SVM to accurately identify comparative sentences in the broad extraction results. The experiments with COAE 2013's test data show that our approach provides better performance than the baselines and most systems reported at CCIR 2013.

AB - Opinions always carry important information of texts, but comparative sentence is a common way to express opinions. We describe how to recognize comparative sentences from Chinese text documents by combining rule-based methods and statistical methods as well as analyze the performance of these methods. The method firstly normalizes the corpus and Chinese word segmentation, and then gets the broad extraction results by using comparative words, sentence structure templates and dependency relation analysis. Finally we take CSR, comparative words and statistical feature words as classification features of SVM to accurately identify comparative sentences in the broad extraction results. The experiments with COAE 2013's test data show that our approach provides better performance than the baselines and most systems reported at CCIR 2013.

KW - CRF

KW - CSR

KW - Chinese Comparative Sentence

KW - Comparative Sentence

KW - SVM

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DO - 10.1007/978-3-642-53917-6_27

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SN - 9783642539169

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

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BT - Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings

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Liu Q, Huang H, Zhang C, Chen Z, Chen J. Chinese comparative sentence identification based on the combination of rules and statistics. In Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Proceedings. PART 2 ed. 2013. p. 300-310. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-53917-6_27

Chinese comparative sentence identification based on the combination of rules and statistics

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Keywords

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