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Volumn , Issue , 2013, Pages 101-105

Intellix - End-user trained information extraction for document archiving

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC INFORMATION EXTRACTION; BUSINESS DOCUMENTS; DOCUMENT ARCHIVING; DOCUMENT MANAGEMENT SYSTEMS; DOCUMENT-PROCESSING; EXTRACTION TECHNIQUES; LARGE CORPORA; TRAINING EXAMPLE;

EID: 84889578255     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2013.28     Document Type: Conference Paper
Times cited : (100)

References (21)
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    • Analysis and understanding of multi-class invoices
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    • (2003) IJDAR , vol.6 , Issue.2 , pp. 102-114
    • Cesarini, F.1    Francesconi, E.2    Gori, M.3    Soda, G.4
  • 12
    • 81355135319 scopus 로고    scopus 로고
    • A probabilistic approach to printed document understanding
    • E. Medvet, A. Bartoli, and G. Davanzo, "A probabilistic approach to printed document understanding," Int. J. Doc. Anal. Recognit., vol. 14, no. 4, pp. 335-347, 2011.
    • (2011) Int. J. Doc. Anal. Recognit. , vol.14 , Issue.4 , pp. 335-347
    • Medvet, E.1    Bartoli, A.2    Davanzo, G.3
  • 16
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    • The Apache Software Foundation Apache Lucene
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    • Comparison and classification of documents based on layout similarity
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    • (2000) Information Retrieval , vol.2 , Issue.2 , pp. 227-243
    • Hu, J.1    Kashi, R.2    Wilfong, G.3
  • 18
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    • Etude comparative de la distribution florale dans une portion des alpes et des jura
    • P. Jaccard, " Etude comparative de la distribution florale dans une portion des alpes et des jura," Bulletin del la Societe Vaudoise des Sciences Naturelles, vol. 37, pp. 547-579, 1901.
    • (1901) Bulletin Del la Societe Vaudoise des Sciences Naturelles , vol.37 , pp. 547-579
    • Jaccard, P.1
  • 19
    • 84889573070 scopus 로고    scopus 로고
    • Rule-based vs. Training-based extraction of index terms from business documents-how to combine the results
    • San Francisco, CA, USA
    • D. Schuster, M. Hanke, K. Muthmann, and D. Esser, "Rule-based vs. training-based extraction of index terms from business documents-how to combine the results," in Document Recognition and Retrieval XX (DRR), San Francisco, CA, USA, 2013.
    • (2013) Document Recognition and Retrieval XX (DRR)
    • Schuster, D.1    Hanke, M.2    Muthmann, K.3    Esser, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.