Max Göbel
Tamir Hassan
ABSTRACT
This tutorial is targeted at academics and practitioners, both within and outside of the Document Engineering community, who are confronted with table processing tasks such as information extraction and conversion, or have an interest in the topic, and wish to deepen their understanding of the state-of-the-art in this field.
- C. S. Bhagavatula, T. Noraset, and D. Downey. TabEL: entity linking in web tables. In Proceedings of the International Semantic Web Conference (ISWC), pages 425--441, 2015. Google Scholar
Digital Library
- D. W. Embley, M. Hurst, D. Lopresti, and G. Nagy. Table-processing paradigms: a research survey. International Journal on Document Analysis and Recognition (IJDAR), 8:66--86, 2006.Google ScholarCross Ref
- D. W. Embley, M. S. Krishnamoorthy, G. Nagy, and S. Seth. Converting heterogeneous statistical tables on the web to searchable databases. International Journal on Document Analysis and Recognition (IJDAR), 19(2):119--138, 2016. Google ScholarDigital Library
- M. Göbel, T. Hassan, E. Oro, and G. Orsi. A methodology for evaluating algorithms for table understanding in PDF documents. In Proceedings of the ACM Symposium on Document Engineering (DocEng), pages 45--48, 2012. Google ScholarDigital Library
- M. Göbel, T. Hassan, E. Oro, and G. Orsi. ICDAR 2013 Table Competition. In Proceedings of the 12th International Conference on Document Analysis and Recognition (ICDAR), pages 1449--1453, 2013. Google ScholarDigital Library
- D. P. Lopresti and G. Nagy. A tabular survey of automated table processing. In Selected Papers from the Third International Workshop on Graphics Recognition (GREC '99), Recent Advances, pages 93--120, published 2000. Google ScholarDigital Library
Index Terms
- Table Modelling, Extraction and Processing
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