A segmentation method for bibliographic references by contextual tagging of fields

Dominique Besagni 1 Abdel Belaïd 2 Nelly Benet 2
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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 grammar categories and then reduced in canonical forms corresponding to record fields: ``authors'', title, conference name, date, etc. Non labelled tokens are integrated in one or another field by either applying PoS correction rules or using a structure 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 2500 references.
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Communication dans un congrès
Seventh International Conference on Document Analysis and Recognition, Aug 2003, Edinburgh, Scotland, 5 p, 2003
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Soumis le : jeudi 19 octobre 2006 - 09:04:46
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59
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Dominique Besagni, Abdel Belaïd, Nelly Benet. A segmentation method for bibliographic references by contextual tagging of fields. Seventh International Conference on Document Analysis and Recognition, Aug 2003, Edinburgh, Scotland, 5 p, 2003. 〈inria-00107677〉

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