Abstract
We proposed an automatic bibliography extraction method for research papers scanned with OCR markup. The method uses conditional random fields (CRF) to label serially OCRed text lines in the article title page as appropriate bibliographic element names. Although we achieved good extraction accuracies for some Japanese academic journals, extraction errors are inevitable. Therefore, this paper proposes three confidence measures for bibliography labeling to detect such extraction errors. This paper also reports an empirical evaluation of CRF-based page analysis for research papers on the basis not only of labeling accuracy but also of labeling error detection. We applied the three confidence measures to labeling three academic journals published in Japan. The experiments showed that the proposed confidence measures reasonably indicated the labeling accuracies and could be used for error detection.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IADIS International Conference Information Systems 2012, IS 2012 |
| Publisher | IADIS |
| Pages | 18-26 |
| Number of pages | 9 |
| ISBN (Print) | 9789728939687 |
| Publication status | Published - 2012 |
| Event | IADIS International Conference on Information Systems 2012, IS 2012 - Berlin, Germany Duration: Mar 10 2012 → Mar 12 2012 |
Other
| Other | IADIS International Conference on Information Systems 2012, IS 2012 |
|---|---|
| Country | Germany |
| City | Berlin |
| Period | 3/10/12 → 3/12/12 |
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Keywords
- Bibliography Extraction
- Conditional Random Fields (CRF)
- Digital Library
- Error Detection
- OCR
ASJC Scopus subject areas
- Computer Science Applications
- Hardware and Architecture
- Information Systems
- Software
Cite this
Empirical evaluation of CRF F-based bibliography extraction from research papers. / Ohta, Manabu; Inoue, Ryohei; Takasu, Atsuhiro.
Proceedings of the IADIS International Conference Information Systems 2012, IS 2012. IADIS, 2012. p. 18-26.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Empirical evaluation of CRF F-based bibliography extraction from research papers
AU - Ohta, Manabu
AU - Inoue, Ryohei
AU - Takasu, Atsuhiro
PY - 2012
Y1 - 2012
N2 - We proposed an automatic bibliography extraction method for research papers scanned with OCR markup. The method uses conditional random fields (CRF) to label serially OCRed text lines in the article title page as appropriate bibliographic element names. Although we achieved good extraction accuracies for some Japanese academic journals, extraction errors are inevitable. Therefore, this paper proposes three confidence measures for bibliography labeling to detect such extraction errors. This paper also reports an empirical evaluation of CRF-based page analysis for research papers on the basis not only of labeling accuracy but also of labeling error detection. We applied the three confidence measures to labeling three academic journals published in Japan. The experiments showed that the proposed confidence measures reasonably indicated the labeling accuracies and could be used for error detection.
AB - We proposed an automatic bibliography extraction method for research papers scanned with OCR markup. The method uses conditional random fields (CRF) to label serially OCRed text lines in the article title page as appropriate bibliographic element names. Although we achieved good extraction accuracies for some Japanese academic journals, extraction errors are inevitable. Therefore, this paper proposes three confidence measures for bibliography labeling to detect such extraction errors. This paper also reports an empirical evaluation of CRF-based page analysis for research papers on the basis not only of labeling accuracy but also of labeling error detection. We applied the three confidence measures to labeling three academic journals published in Japan. The experiments showed that the proposed confidence measures reasonably indicated the labeling accuracies and could be used for error detection.
KW - Bibliography Extraction
KW - Conditional Random Fields (CRF)
KW - Digital Library
KW - Error Detection
KW - OCR
UR - http://www.scopus.com/inward/record.url?scp=84869037046&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869037046&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9789728939687
SP - 18
EP - 26
BT - Proceedings of the IADIS International Conference Information Systems 2012, IS 2012
PB - IADIS
ER -