caa a22 4500 467884153 CHVBK 20180406152729.0 cr unu---uuuuu 170328e20060601xx s 000 0 eng 10.1007/s10032-005-0001-x doi (NATIONALLICENCE)springer-10.1007/s10032-005-0001-x Design of an end-to-end method to extract information from tables [Elektronische Daten] [Ana e Silva, Alípio Jorge, Luís Torgo] This paper plans an end-to-end method for extracting information from tables embedded in documents; input format is ASCII, to which any richer format can be converted, preserving all textual and much of the layout information. We start by defining table. Then we describe the steps involved in extracting information from tables and analyse table-related research to place the contribution of different authors, find the paths research is following, and identify issues that are still unsolved. We then analyse current approaches to evaluating table processing algorithms and propose two new metrics for the task of segmenting cells/columns/rows. We proceed to design our own end-to-end method, where there is a higher interaction between different steps; we indicate how back loops in the usual order of the steps can reduce the possibility of errors and contribute to solving previously unsolved problems. Finally, we explore how the actual interpretation of the table not only allows inferring the accuracy of the overall extraction process but also contributes to actually improving its quality. In order to do so, we believe interpretation has to consider context-specific knowledge; we explore how the addition of this knowledge can be made in a plug-in/out manner, such that the overall method will maintain its operability in different contexts. Springer-Verlag, 2005 Information extraction nationallicence Table recognition and understanding nationallicence Unstructured document conversion nationallicence e Silva Ana Banco de Portugal, Porto, Portugal aut Jorge Alípio Universidade do Porto, Faculdade de Economia do Porto, LIACC, Porto, Portugal aut Torgo Luís Universidade do Porto, Faculdade de Economia do Porto, LIACC, Porto, Portugal aut International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/2-3(2006-06-01), 144-171 1433-2833 8:2-3<144 2006 8 10032 https://doi.org/10.1007/s10032-005-0001-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-005-0001-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- e Silva Ana Banco de Portugal, Porto, Portugal aut NATIONALLICENCE 700 1- Jorge Alípio Universidade do Porto, Faculdade de Economia do Porto, LIACC, Porto, Portugal aut NATIONALLICENCE 700 1- Torgo Luís Universidade do Porto, Faculdade de Economia do Porto, LIACC, Porto, Portugal aut NATIONALLICENCE 773 0- International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/2-3(2006-06-01), 144-171 1433-2833 8:2-3<144 2006 8 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer