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https://inria.hal.science/LORIA
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https://dx.doi.org/10.1109/ICDAR.1997.620673
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Ulm, Allemagne
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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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document image processing
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inria-00537355
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https://inria.hal.science/LORIA2
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software agents
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_:vb54464228
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http://data.archives-ouvertes.fr/schema/topic
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2010-11-18T12:24:20
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http://purl.org/dc/terms/title
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Logical Structure Recognition of Scientific Bibliographic References
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http://purl.org/dc/elements/1.1/subject
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statistics
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_:vb79925234
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_:vb79925235
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1997-08-18
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10.1109/ICDAR.1997.620673
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en
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_:vb105375664
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1072
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http://purl.org/dc/elements/1.1/subject
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software fault tolerance
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http://purl.org/dc/terms/identifier
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https://inria.hal.science/inria-00537355
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http://purl.org/dc/elements/1.1/subject
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bibliographic systems
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https://data.archives-ouvertes.fr/document/inria-00537355
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http://purl.org/dc/terms/source
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4th International Conference on Document Analysis and Recognition - ICDAR'97
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http://purl.org/dc/elements/1.1/subject
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image recognition
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_:vb3576989
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1086
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_:vb3576990
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http://purl.org/dc/terms/modified
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2023-03-24T14:52:53
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http://purl.org/dc/terms/abstract
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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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http://purl.org/dc/terms/type
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https://data.archives-ouvertes.fr/doctype/ConferencePaper
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