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Table Modelling, Extraction and Processing

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Roya RastanAuthors Info & Claims

DocEng '16: Proceedings of the 2016 ACM Symposium on Document Engineering

Pages 1 - 2

https://doi.org/10.1145/2960811.2967173

Published: 13 September 2016 Publication History

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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.

References

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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.

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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.

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Cited By

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Saout TLardeux FSaubion F(2024)An Overview of Data Extraction From InvoicesIEEE Access10.1109/ACCESS.2024.336052812(19872-19886)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3360528
Li YHuang ZYan JZhou YYe FLiu X(2021)GFTE: Graph-Based Financial Table ExtractionPattern Recognition. ICPR International Workshops and Challenges10.1007/978-3-030-68790-8_50(644-658)Online publication date: 23-Feb-2021
https://doi.org/10.1007/978-3-030-68790-8_50
Mikhailov AShigarov ARozhkov ECherepanov I(2020)On Graph-Based Verification for PDF Table Detection2020 Ivannikov Ispras Open Conference (ISPRAS)10.1109/ISPRAS51486.2020.00020(91-95)Online publication date: Dec-2020
https://doi.org/10.1109/ISPRAS51486.2020.00020
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Index Terms

Table Modelling, Extraction and Processing
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Document analysis
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Information extraction

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Published In

DocEng '16: Proceedings of the 2016 ACM Symposium on Document Engineering

September 2016

222 pages

ISBN:9781450344388

DOI:10.1145/2960811

General Chair:
Robert Sablatnig
TU Wien, Austria
,
Program Chair:
Tamir Hassan
HP Labs, Austria

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGDOC: ACM Special Interest Group on Systems Documentation

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Association for Computing Machinery

New York, NY, United States

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Published: 13 September 2016

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DocEng '16

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SIGWEB

DocEng '16: ACM Symposium on Document Engineering 2016

September 13 - 16, 2016

Vienna, Austria

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DocEng '16 Paper Acceptance Rate 11 of 35 submissions, 31%;

Overall Acceptance Rate 178 of 537 submissions, 33%

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Saout TLardeux FSaubion F(2024)An Overview of Data Extraction From InvoicesIEEE Access10.1109/ACCESS.2024.336052812(19872-19886)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3360528
Li YHuang ZYan JZhou YYe FLiu X(2021)GFTE: Graph-Based Financial Table ExtractionPattern Recognition. ICPR International Workshops and Challenges10.1007/978-3-030-68790-8_50(644-658)Online publication date: 23-Feb-2021
https://doi.org/10.1007/978-3-030-68790-8_50
Mikhailov AShigarov ARozhkov ECherepanov I(2020)On Graph-Based Verification for PDF Table Detection2020 Ivannikov Ispras Open Conference (ISPRAS)10.1109/ISPRAS51486.2020.00020(91-95)Online publication date: Dec-2020
https://doi.org/10.1109/ISPRAS51486.2020.00020
Shigarov AAltaev AMikhailov AParamonov VCherkashin E(2018)TabbyPDF: Web-Based System for PDF Table ExtractionInformation and Software Technologies10.1007/978-3-319-99972-2_20(257-269)Online publication date: 29-Aug-2018
https://doi.org/10.1007/978-3-319-99972-2_20
Corrêa AZander P(2017)Unleashing Tabular Content to Open DataProceedings of the 18th Annual International Conference on Digital Government Research10.1145/3085228.3085278(54-63)Online publication date: 7-Jun-2017
https://dl.acm.org/doi/10.1145/3085228.3085278

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ICDAR 2013 Table Competition

Automatic extraction of table metadata from digital documents

Poster: Impact of Ground Truth Errors on Wi-Fi Localization Accuracy

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