Empirical evaluation of CRF-based bibliography extraction from reference strings

Manabu Ohta, Daiki Arauchi, Atsuhiro Takasu, Jun Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper reports an empirical evaluation of a CRF-based bibliography parser we have developed for reference strings of research papers. The parser uses a conditional random field (CRF) to estimate the correct bibliographic label such as an author's name and a title for each token in a reference string. We applied the parser specifically designed for reference strings to three academic journals, an English one and two Japanese ones, published in Japan. Experiments showed i) the parser correctly parsed from 90% to 94% of reference strings depending on the kinds of journals used and ii) segmentation errors induced by tokenization considerably degraded the final parsing accuracies. This paper also discusses some future directions of the bibliography extraction based on a detailed analysis of the experiments.

Original languageEnglish
Title of host publicationProceedings - 11th IAPR International Workshop on Document Analysis Systems, DAS 2014
PublisherIEEE Computer Society
Pages287-292
Number of pages6
ISBN (Print)9781479932436
DOIs
Publication statusPublished - Jan 1 2014
Event11th IAPR International Workshop on Document Analysis Systems, DAS 2014 - Tours, France
Duration: Apr 7 2014Apr 10 2014

Publication series

NameProceedings - 11th IAPR International Workshop on Document Analysis Systems, DAS 2014

Other

Other11th IAPR International Workshop on Document Analysis Systems, DAS 2014
CountryFrance
CityTours
Period4/7/144/10/14

Keywords

  • Bibliography extraction
  • Citation parsing
  • Conditional random field
  • Evaluation
  • Metadata

ASJC Scopus subject areas

  • Software

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