A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study

Hongzhi Xu; Chu Ren Huang

A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

Chinese time entity is quite complex. In this paper, we give a comprehensive linguistic study on it. Based on the analysis, we present a rule system which only considers the inner structure of Chinese time entities for the recognition. Experiments on Sinica and TempEval-2 corpus show that the rule system performs much better than the CRFs model. When using the rules as features within a CRFs model, the performance could be further improved.

Original language	English
Title of host publication	6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference
Editors	Ruslan Mitkov, Jong C. Park
Publisher	Asian Federation of Natural Language Processing
Pages	795-801
Number of pages	7
ISBN (Electronic)	9784990734800
Publication status	Published - Oct 2013
Event	6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Nagoya, Japan Duration: 14 Oct 2013 → …

Publication series

Name	6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference

Conference

Conference	6th International Joint Conference on Natural Language Processing, IJCNLP 2013
Country/Territory	Japan
City	Nagoya
Period	14/10/13 → …

ASJC Scopus subject areas

Artificial Intelligence
Software

More information

https://aclanthology.org/I13-1096

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Xu, H., & Huang, C. R. (2013). A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study. In R. Mitkov, & J. C. Park (Eds.), 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference (pp. 795-801). (6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference). Asian Federation of Natural Language Processing. https://aclanthology.org/I13-1096

Xu, Hongzhi ; Huang, Chu Ren. / A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study. 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference. editor / Ruslan Mitkov ; Jong C. Park. Asian Federation of Natural Language Processing, 2013. pp. 795-801 (6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference).

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title = "A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study",

abstract = "Chinese time entity is quite complex. In this paper, we give a comprehensive linguistic study on it. Based on the analysis, we present a rule system which only considers the inner structure of Chinese time entities for the recognition. Experiments on Sinica and TempEval-2 corpus show that the rule system performs much better than the CRFs model. When using the rules as features within a CRFs model, the performance could be further improved.",

author = "Hongzhi Xu and Huang, {Chu Ren}",

year = "2013",

month = oct,

language = "English",

series = "6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference",

publisher = "Asian Federation of Natural Language Processing",

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booktitle = "6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference",

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Xu, H & Huang, CR 2013, A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study. in R Mitkov & JC Park (eds), 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference. 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference, Asian Federation of Natural Language Processing, pp. 795-801, 6th International Joint Conference on Natural Language Processing, IJCNLP 2013, Nagoya, Japan, 14/10/13. <https://aclanthology.org/I13-1096>

A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study. / Xu, Hongzhi; Huang, Chu Ren.
6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference. ed. / Ruslan Mitkov; Jong C. Park. Asian Federation of Natural Language Processing, 2013. p. 795-801 (6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - Chinese time entity is quite complex. In this paper, we give a comprehensive linguistic study on it. Based on the analysis, we present a rule system which only considers the inner structure of Chinese time entities for the recognition. Experiments on Sinica and TempEval-2 corpus show that the rule system performs much better than the CRFs model. When using the rules as features within a CRFs model, the performance could be further improved.

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BT - 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference

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Xu H, Huang CR. A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study. In Mitkov R, Park JC, editors, 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference. Asian Federation of Natural Language Processing. 2013. p. 795-801. (6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Proceedings of the Main Conference).

A Rule System for Chinese Time Entity Recognition by Comprehensive Linguistic Study

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