A segmentation method for bibliographic references by contextual tagging of fields
Identifieur interne : 007991 ( Main/Merge ); précédent : 007990; suivant : 007992A segmentation method for bibliographic references by contextual tagging of fields
Auteurs : Dominique Besagni ; Abdel Belaïd [France] ; Nelly BenetSource :
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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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