Ripple down rules for part-of-speech tagging

Dat Quoc Nguyen; Dai Quoc Nguyen; Son Bao Pham; Dang Duc Pham

doi:10.1007/978-3-642-19400-9_15

Ripple down rules for part-of-speech tagging

Dat Quoc Nguyen, Dai Quoc Nguyen, Son Bao Pham, Dang Duc Pham

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

11 Citations (Scopus)

Abstract

This paper presents a new approach to learn a rule based system for the task of part of speech tagging. Our approach is based on an incremental knowledge acquisition methodology where rules are stored in an exception-structure and new rules are only added to correct errors of existing rules; thus allowing systematic control of interaction between rules. Experimental results of our approach on English show that we achieve in the best accuracy published to date: 97.095% on the Penn Treebank corpus. We also obtain the best performance for Vietnamese VietTreeBank corpus.

Original language	English
Title of host publication	Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings
Place of Publication	Berlin, Germany
Pages	190-201
Number of pages	12
Volume	6608 LNCS
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-19400-9_15
Publication status	Published - 2011
Externally published	Yes
Event	12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011 - Tokyo, Japan Duration: 20 Feb 2011 → 26 Feb 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6608 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011
Country/Territory	Japan
City	Tokyo
Period	20/02/11 → 26/02/11

Access to Document

10.1007/978-3-642-19400-9_15

Cite this

Nguyen, D. Q., Nguyen, D. Q., Pham, S. B., & Pham, D. D. (2011). Ripple down rules for part-of-speech tagging. In Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings (PART 1 ed., Vol. 6608 LNCS, pp. 190-201). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6608 LNCS, No. PART 1).. https://doi.org/10.1007/978-3-642-19400-9_15

Nguyen, Dat Quoc ; Nguyen, Dai Quoc ; Pham, Son Bao et al. / Ripple down rules for part-of-speech tagging. Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings. Vol. 6608 LNCS PART 1. ed. Berlin, Germany, 2011. pp. 190-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Ripple down rules for part-of-speech tagging",

abstract = "This paper presents a new approach to learn a rule based system for the task of part of speech tagging. Our approach is based on an incremental knowledge acquisition methodology where rules are stored in an exception-structure and new rules are only added to correct errors of existing rules; thus allowing systematic control of interaction between rules. Experimental results of our approach on English show that we achieve in the best accuracy published to date: 97.095% on the Penn Treebank corpus. We also obtain the best performance for Vietnamese VietTreeBank corpus.",

author = "Nguyen, {Dat Quoc} and Nguyen, {Dai Quoc} and Pham, {Son Bao} and Pham, {Dang Duc}",

year = "2011",

doi = "10.1007/978-3-642-19400-9_15",

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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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pages = "190--201",

booktitle = "Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings",

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Nguyen, DQ, Nguyen, DQ, Pham, SB & Pham, DD 2011, Ripple down rules for part-of-speech tagging. in Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings. PART 1 edn, vol. 6608 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6608 LNCS, Berlin, Germany, pp. 190-201, 12th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2011, Tokyo, Japan, 20/02/11. https://doi.org/10.1007/978-3-642-19400-9_15

Ripple down rules for part-of-speech tagging. / Nguyen, Dat Quoc; Nguyen, Dai Quoc; Pham, Son Bao et al.
Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings. Vol. 6608 LNCS PART 1. ed. Berlin, Germany, 2011. p. 190-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6608 LNCS, No. PART 1).

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

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AB - This paper presents a new approach to learn a rule based system for the task of part of speech tagging. Our approach is based on an incremental knowledge acquisition methodology where rules are stored in an exception-structure and new rules are only added to correct errors of existing rules; thus allowing systematic control of interaction between rules. Experimental results of our approach on English show that we achieve in the best accuracy published to date: 97.095% on the Penn Treebank corpus. We also obtain the best performance for Vietnamese VietTreeBank corpus.

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DO - 10.1007/978-3-642-19400-9_15

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Nguyen DQ, Nguyen DQ, Pham SB, Pham DD. Ripple down rules for part-of-speech tagging. In Computational Linguistics and Intelligent Text Processing - 12th International Conference, CICLing 2011, Proceedings. PART 1 ed. Vol. 6608 LNCS. Berlin, Germany. 2011. p. 190-201. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-19400-9_15

Ripple down rules for part-of-speech tagging

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