Examination of effective features for CRF-based bibliography extraction from reference strings

Daiki Matsuoka; Manabu Ohta; Atsuhiro Takasu; Jun Adachi

doi:10.1109/ICDIM.2016.7829774

Examination of effective features for CRF-based bibliography extraction from reference strings

Daiki Matsuoka, Manabu Ohta, Atsuhiro Takasu, Jun Adachi

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

6 Citations (Scopus)

Abstract

Metadata such as bibliographic information about documents are indispensable in the effective use of digital libraries. In particular, the reference fields of academic papers contain much bibliographic information such as authors' names and document titles. We are therefore developing a method for automatically extracting bibliographic information from reference strings using a conditional random field (CRF). The features used by the CRF determine the accuracy of this method. We examine effective features for accurate extraction by experimentally changing the features used. The experiments showed that lexical features were quite effective in accurate extraction and augmenting lexicons properly could lead to further improvements in accuracy.

Original language	English
Title of host publication	2016 11th International Conference on Digital Information Management, ICDIM 2016
Editors	Ramiro Robles, Pit Pichappan, Pit Pichappan, Antonio J. Tallon-Ballesteros
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	243-248
Number of pages	6
ISBN (Electronic)	9781509026401
DOIs	https://doi.org/10.1109/ICDIM.2016.7829774
Publication status	Published - 2016
Event	2016 11th International Conference on Digital Information Management, ICDIM 2016 - Porto, Portugal Duration: Sept 19 2016 → Sept 21 2016

Publication series

Name	2016 11th International Conference on Digital Information Management, ICDIM 2016

Other

Other	2016 11th International Conference on Digital Information Management, ICDIM 2016
Country/Territory	Portugal
City	Porto
Period	9/19/16 → 9/21/16

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems and Management

Access to Document

10.1109/ICDIM.2016.7829774

Cite this

Matsuoka, D., Ohta, M., Takasu, A., & Adachi, J. (2016). Examination of effective features for CRF-based bibliography extraction from reference strings. In R. Robles, P. Pichappan, P. Pichappan, & A. J. Tallon-Ballesteros (Eds.), 2016 11th International Conference on Digital Information Management, ICDIM 2016 (pp. 243-248). [7829774] (2016 11th International Conference on Digital Information Management, ICDIM 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDIM.2016.7829774

Examination of effective features for CRF-based bibliography extraction from reference strings. / Matsuoka, Daiki; Ohta, Manabu; Takasu, Atsuhiro et al.
2016 11th International Conference on Digital Information Management, ICDIM 2016. ed. / Ramiro Robles; Pit Pichappan; Pit Pichappan; Antonio J. Tallon-Ballesteros. Institute of Electrical and Electronics Engineers Inc., 2016. p. 243-248 7829774 (2016 11th International Conference on Digital Information Management, ICDIM 2016).

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

Matsuoka, D, Ohta, M, Takasu, A & Adachi, J 2016, Examination of effective features for CRF-based bibliography extraction from reference strings. in R Robles, P Pichappan, P Pichappan & AJ Tallon-Ballesteros (eds), 2016 11th International Conference on Digital Information Management, ICDIM 2016., 7829774, 2016 11th International Conference on Digital Information Management, ICDIM 2016, Institute of Electrical and Electronics Engineers Inc., pp. 243-248, 2016 11th International Conference on Digital Information Management, ICDIM 2016, Porto, Portugal, 9/19/16. https://doi.org/10.1109/ICDIM.2016.7829774

Matsuoka D, Ohta M, Takasu A, Adachi J. Examination of effective features for CRF-based bibliography extraction from reference strings. In Robles R, Pichappan P, Pichappan P, Tallon-Ballesteros AJ, editors, 2016 11th International Conference on Digital Information Management, ICDIM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 243-248. 7829774. (2016 11th International Conference on Digital Information Management, ICDIM 2016). doi: 10.1109/ICDIM.2016.7829774

Matsuoka, Daiki ; Ohta, Manabu ; Takasu, Atsuhiro et al. / Examination of effective features for CRF-based bibliography extraction from reference strings. 2016 11th International Conference on Digital Information Management, ICDIM 2016. editor / Ramiro Robles ; Pit Pichappan ; Pit Pichappan ; Antonio J. Tallon-Ballesteros. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 243-248 (2016 11th International Conference on Digital Information Management, ICDIM 2016).

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abstract = "Metadata such as bibliographic information about documents are indispensable in the effective use of digital libraries. In particular, the reference fields of academic papers contain much bibliographic information such as authors' names and document titles. We are therefore developing a method for automatically extracting bibliographic information from reference strings using a conditional random field (CRF). The features used by the CRF determine the accuracy of this method. We examine effective features for accurate extraction by experimentally changing the features used. The experiments showed that lexical features were quite effective in accurate extraction and augmenting lexicons properly could lead to further improvements in accuracy.",

author = "Daiki Matsuoka and Manabu Ohta and Atsuhiro Takasu and Jun Adachi",

note = "Funding Information: This work was supported by a JSPS Grant-in-Aid for Scientific Research (B) (15H02789), a JSPS Grant-in-Aid for Scientific Research (C) (25330384), and the Collaborative Research Program of the National Institute of Informatics. Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 11th International Conference on Digital Information Management, ICDIM 2016 ; Conference date: 19-09-2016 Through 21-09-2016",

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AB - Metadata such as bibliographic information about documents are indispensable in the effective use of digital libraries. In particular, the reference fields of academic papers contain much bibliographic information such as authors' names and document titles. We are therefore developing a method for automatically extracting bibliographic information from reference strings using a conditional random field (CRF). The features used by the CRF determine the accuracy of this method. We examine effective features for accurate extraction by experimentally changing the features used. The experiments showed that lexical features were quite effective in accurate extraction and augmenting lexicons properly could lead to further improvements in accuracy.

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Examination of effective features for CRF-based bibliography extraction from reference strings

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