https://data.archives-ouvertes.fr/document/inria-00537355v1

https://data.archives-ouvertes.fr/document/inria-00537355v1

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http://purl.org/dc/terms/coverage Ulm, Allemagne
http://purl.org/dc/terms/bibliographicCitation François Parmentier, Abdel Belaïd. Logical Structure Recognition of Scientific Bibliographic References. 4th International Conference on Document Analysis and Recognition - ICDAR'97, Aug 1997, Ulm, Germany. pp.1072-1086, ⟨10.1109/ICDAR.1997.620673⟩. ⟨inria-00537355⟩
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http://purl.org/dc/terms/created 2010-11-18T12:24:20
http://purl.org/dc/terms/title Logical Structure Recognition of Scientific Bibliographic References
http://purl.org/dc/elements/1.1/subject statistics
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http://purl.org/dc/elements/1.1/subject software fault tolerance
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http://purl.org/dc/elements/1.1/subject bibliographic systems
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http://purl.org/dc/terms/source 4th International Conference on Document Analysis and Recognition - ICDAR'97
http://purl.org/dc/elements/1.1/subject image recognition
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http://purl.org/dc/terms/abstract In this paper, we are presenting an approach for the logical structure recognition of bibliographic references. The objective is to produce, for each reference (given in a display format, as postscript), structured data containing the hierarchy of fields recognized. As a result of variation among bibliographic references (in order and typographic format of fields, or writing style of the author, for example), we need a robust and tolerant system architecture. Thus, recognition is performed by a concept-oriented system that uses a model automatically built from a reference database. This model represents the reference fields and includes statistics on the occurrence of their terms. Recognition is achieved by a step-by-step activation of the more pertinent concepts. Each activated concept causes the execution of an appropriate searching agent. This architecture is robust and non-deterministic, allowing a solution even in difficult cases.
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https://data.archives-ouvertes.fr/document/inria-00537355

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