The Book Structure Extraction Competition with the Resurgence full content software at Caen University
Identifieur interne : 000235 ( Main/Exploration ); précédent : 000234; suivant : 000236The Book Structure Extraction Competition with the Resurgence full content software at Caen University
Auteurs : Emmanuel Giguet [France] ; Nadine Lucas [France]Source :
English descriptors
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Abstract
The GREYC participated in the Structure Extraction Competition, part of the INEX/ICDAR Book track, for the third time, with the Resurgence software. We used a minimal strategy primarily based on full-content top-down document representation with two then three levels, part, chapter and section. The main idea is to use a model describing relationships for elements in the document structure. Frontiers between high-level units are detected. The periphery center relationship is calculated on the entire document and then reflected on each page. The weak points of the approach are that level hierarchy is implicit, and dependent on named levels. It does not fit with the chapter and section levels reflected in the ground-truth. The strong points are that it deals with the entire document; it handles books without ToCs, and extracts titles that are not represented in the ToC (e. g. preface); it is tolerant to OCR errors and language independent; it is simple and fast. A test on sections was run after the competition to help understand the evaluation issues with more than two levels.
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DOI: 10.1007/978-3-642-35734-3_7
Affiliations:
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Le document en format XML
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Internet)</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The GREYC participated in the Structure Extraction Competition, part of the INEX/ICDAR Book track, for the third time, with the Resurgence software. We used a minimal strategy primarily based on full-content top-down document representation with two then three levels, part, chapter and section. The main idea is to use a model describing relationships for elements in the document structure. Frontiers between high-level units are detected. The periphery center relationship is calculated on the entire document and then reflected on each page. The weak points of the approach are that level hierarchy is implicit, and dependent on named levels. It does not fit with the chapter and section levels reflected in the ground-truth. The strong points are that it deals with the entire document; it handles books without ToCs, and extracts titles that are not represented in the ToC (e. g. preface); it is tolerant to OCR errors and language independent; it is simple and fast. A test on sections was run after the competition to help understand the evaluation issues with more than two levels.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Basse-Normandie</li></region><settlement><li>Caen</li></settlement><orgName><li>Université de Caen Basse-Normandie</li></orgName></list><tree><country name="France"><region name="Basse-Normandie"><name sortKey="Giguet, Emmanuel" sort="Giguet, Emmanuel" uniqKey="Giguet E" first="Emmanuel" last="Giguet">Emmanuel Giguet</name></region><name sortKey="Lucas, Nadine" sort="Lucas, Nadine" uniqKey="Lucas N" first="Nadine" last="Lucas">Nadine Lucas</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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