Citation recognition for scientific publications in digital libraries

Dominique Besagni 1 Abdel Belaïd 2
2 READ - READ
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, a method based on part-of-speech tagging (PoS) is used for bibliographic reference structure. This method operates on a roughly structured ASCII file, produced by OCR.. Because of the heterogeneity of the reference structure, the method acts in a bottom-up way, without an a priori model, gathering structural elements from basic tags to sub-fields and fields. Significant tags are first grouped in homogeneous classes according to their categories and then reduced in canonical forms corresponding to record fields: ``authors'', title, conference name, date, etc. Non labeled tokens are integrated in one or another field by either applying PoS correction rules or using a inter- or intra-field model generated from well-detected records. The designed prototype operates with a great satisfaction on different record layouts and character recognition qualities. Without manual intervention, 96.6% words are correctly attributed, and about 75,9% references are completely segmented from 2,575 references.
Type de document :
Communication dans un congrès
First International Workshop on Document Image Analysis for Libraries - DIAL'04, Jan 2004, Palo Alto, California, pp.244-252, 2004
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Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:15:13
Dernière modification le : mardi 24 avril 2018 - 13:36:41

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Dominique Besagni, Abdel Belaïd. Citation recognition for scientific publications in digital libraries. First International Workshop on Document Image Analysis for Libraries - DIAL'04, Jan 2004, Palo Alto, California, pp.244-252, 2004. 〈inria-00100181〉

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