CRF-based authors' name tagging for scanned documents

Manabu Ohta, Atsuhiro Takasu

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

7 Citations (Scopus)


Authors' names are a critical bibliographic element when searching or browsing academic articles stored in digital libraries. Therefore, those creating metadata for digital libraries would appreciate an automatic method to extract such bibliographic data from printed documents. In this paper, we describe an automatic author name tagger for academic articles scanned with optical character recognition (OCR) mark-up. The method uses conditional random fields (CRF) for labeling the unsegmented character strings in authors' blocks as those of either an author or a delimiter. We applied the tagger to Japanese academic articles. The results of the experiments showed that it correctly labeled more than 99% of the author name strings, which compares favorably with the under 96% correct rate of our previous tagger based on a hidden Markov model (HMM).

Original languageEnglish
Title of host publicationJCDL'08
Subtitle of host publicationProceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008
Number of pages4
Publication statusPublished - 2008
Event8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008, JCDL'08 - Pittsburgh, PA, United States
Duration: Jun 16 2008Jun 20 2008

Publication series

NameProceedings of the ACM International Conference on Digital Libraries


Other8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008, JCDL'08
Country/TerritoryUnited States
CityPittsburgh, PA


  • Conditional Random Fields (CRF)
  • Digital libraries
  • Information extraction

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences


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