A transformation-based error-driven learning approach for Chinese temporal information extraction

Chunxia Zhang; Cungen Cao; Zhendong Niu; Qing Yang

doi:10.1007/978-3-540-68636-1_80

A transformation-based error-driven learning approach for Chinese temporal information extraction

Chunxia Zhang^*, Cungen Cao, Zhendong Niu, Qing Yang

^*Corresponding author for this work

School of Computer Science and Technology

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

5 Citations (Scopus)

Abstract

Temporal information processing plays an important role in many application areas such as information retrieval, question answering, machine translation, and text summarization. This paper proposes a transformation-based error-driven learning approach to extracting temporal expressions from Chinese unstructured texts. The temporal expression annotator used in the approach is developed based on a Chinese time ontology, which includes concepts of temporal expressions and their taxonomical relations. Experiments in three domains show that our algorithm obtained promising results.

Original language	English
Title of host publication	Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers
Pages	663-669
Number of pages	7
DOIs	https://doi.org/10.1007/978-3-540-68636-1_80
Publication status	Published - 2008
Event	4th Asia Information Retrieval Symposium, AIRS 2008 - Harbin, China Duration: 15 Jan 2008 → 18 Jan 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4993 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th Asia Information Retrieval Symposium, AIRS 2008
Country/Territory	China
City	Harbin
Period	15/01/08 → 18/01/08

Keywords

Chinese temporal expressions
Temporal information extraction
Transformation-based error-driven learning

Access to Document

10.1007/978-3-540-68636-1_80

Cite this

Zhang, C., Cao, C., Niu, Z., & Yang, Q. (2008). A transformation-based error-driven learning approach for Chinese temporal information extraction. In Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers (pp. 663-669). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4993 LNCS). https://doi.org/10.1007/978-3-540-68636-1_80

Zhang, Chunxia ; Cao, Cungen ; Niu, Zhendong et al. / A transformation-based error-driven learning approach for Chinese temporal information extraction. Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers. 2008. pp. 663-669 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e8b2c1f7f8c1485da90a84d2a8bc102a,

title = "A transformation-based error-driven learning approach for Chinese temporal information extraction",

abstract = "Temporal information processing plays an important role in many application areas such as information retrieval, question answering, machine translation, and text summarization. This paper proposes a transformation-based error-driven learning approach to extracting temporal expressions from Chinese unstructured texts. The temporal expression annotator used in the approach is developed based on a Chinese time ontology, which includes concepts of temporal expressions and their taxonomical relations. Experiments in three domains show that our algorithm obtained promising results.",

keywords = "Chinese temporal expressions, Temporal information extraction, Transformation-based error-driven learning",

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

year = "2008",

doi = "10.1007/978-3-540-68636-1_80",

language = "English",

isbn = "3540686339",

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

pages = "663--669",

booktitle = "Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers",

note = "4th Asia Information Retrieval Symposium, AIRS 2008 ; Conference date: 15-01-2008 Through 18-01-2008",

}

Zhang, C, Cao, C, Niu, Z & Yang, Q 2008, A transformation-based error-driven learning approach for Chinese temporal information extraction. in Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4993 LNCS, pp. 663-669, 4th Asia Information Retrieval Symposium, AIRS 2008, Harbin, China, 15/01/08. https://doi.org/10.1007/978-3-540-68636-1_80

A transformation-based error-driven learning approach for Chinese temporal information extraction. / Zhang, Chunxia; Cao, Cungen; Niu, Zhendong et al.
Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers. 2008. p. 663-669 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4993 LNCS).

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

TY - GEN

T1 - A transformation-based error-driven learning approach for Chinese temporal information extraction

AU - Zhang, Chunxia

AU - Cao, Cungen

AU - Niu, Zhendong

AU - Yang, Qing

PY - 2008

Y1 - 2008

N2 - Temporal information processing plays an important role in many application areas such as information retrieval, question answering, machine translation, and text summarization. This paper proposes a transformation-based error-driven learning approach to extracting temporal expressions from Chinese unstructured texts. The temporal expression annotator used in the approach is developed based on a Chinese time ontology, which includes concepts of temporal expressions and their taxonomical relations. Experiments in three domains show that our algorithm obtained promising results.

AB - Temporal information processing plays an important role in many application areas such as information retrieval, question answering, machine translation, and text summarization. This paper proposes a transformation-based error-driven learning approach to extracting temporal expressions from Chinese unstructured texts. The temporal expression annotator used in the approach is developed based on a Chinese time ontology, which includes concepts of temporal expressions and their taxonomical relations. Experiments in three domains show that our algorithm obtained promising results.

KW - Chinese temporal expressions

KW - Temporal information extraction

KW - Transformation-based error-driven learning

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U2 - 10.1007/978-3-540-68636-1_80

DO - 10.1007/978-3-540-68636-1_80

M3 - Conference contribution

AN - SCOPUS:45449113548

SN - 3540686339

SN - 9783540686330

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

SP - 663

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BT - Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers

T2 - 4th Asia Information Retrieval Symposium, AIRS 2008

Y2 - 15 January 2008 through 18 January 2008

ER -

Zhang C, Cao C, Niu Z, Yang Q. A transformation-based error-driven learning approach for Chinese temporal information extraction. In Information Retrieval Technology - 4th Asia Information Retrieval Symposium, AIRS 2008, Revised Selected Papers. 2008. p. 663-669. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-68636-1_80

A transformation-based error-driven learning approach for Chinese temporal information extraction

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