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TINTIN: a system for retrieval in text tables

Authors:

Pallavi Pyreddy,

W. Bruce CroftAuthors Info & Claims

DL '97: Proceedings of the second ACM international conference on Digital libraries

Pages 193 - 200

https://doi.org/10.1145/263690.263816

Published: 01 July 1997 Publication History

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Cited By

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Kasem MAbdallah ABerendeyev AElkady EMahmoud MAbdalla MHamada MVascon SNurseitov DTaj-Eddin I(2024)Deep Learning for Table Detection and Structure Recognition: A SurveyACM Computing Surveys10.1145/3657281Online publication date: 10-Apr-2024
https://doi.org/10.1145/3657281
Li YZhang PSun MHuang JHe R(2024)Pre-training transformer with dual-branch context content module for table detection in document imagesVirtual Reality & Intelligent Hardware10.1016/j.vrih.2024.06.0036:5(408-420)Online publication date: Oct-2024
https://doi.org/10.1016/j.vrih.2024.06.003
Ehsan IShehzadi TStricker DAfzal M(2024)End-to-end semi-supervised approach with modulated object queries for table detection in documentsInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-024-00471-027:3(363-378)Online publication date: 10-Jul-2024
https://doi.org/10.1007/s10032-024-00471-0
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TINTIN: a system for retrieval in text tables

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Published In

DL '97: Proceedings of the second ACM international conference on Digital libraries

July 1997

274 pages

ISBN:0897918681

DOI:10.1145/263690

Chairmen:
Robert B. Allen
Bellcore, Morristown, NJ
,
Edie Rasmussen
Univ. of Pittsburgh, Pittsburgh, PA

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1997

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DL97: 2nd ACM International Conference on Digital Libraries

July 23 - 26, 1997

Pennsylvania, Philadelphia, USA

Acceptance Rates

DL '97 Paper Acceptance Rate 28 of 100 submissions, 28%;

Overall Acceptance Rate 95 of 346 submissions, 27%

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The 2024 ACM/IEEE Joint Conference on Digital Libraries

December 16 - 20, 2024

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Cited By

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Kasem MAbdallah ABerendeyev AElkady EMahmoud MAbdalla MHamada MVascon SNurseitov DTaj-Eddin I(2024)Deep Learning for Table Detection and Structure Recognition: A SurveyACM Computing Surveys10.1145/3657281Online publication date: 10-Apr-2024
https://doi.org/10.1145/3657281
Li YZhang PSun MHuang JHe R(2024)Pre-training transformer with dual-branch context content module for table detection in document imagesVirtual Reality & Intelligent Hardware10.1016/j.vrih.2024.06.0036:5(408-420)Online publication date: Oct-2024
https://doi.org/10.1016/j.vrih.2024.06.003
Ehsan IShehzadi TStricker DAfzal M(2024)End-to-end semi-supervised approach with modulated object queries for table detection in documentsInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-024-00471-027:3(363-378)Online publication date: 10-Jul-2024
https://doi.org/10.1007/s10032-024-00471-0
Shehzadi TSarode SStricker DAfzal M(2024)Towards End-to-End Semi-supervised Table Detection with Semantic Aligned Matching TransformerDocument Analysis and Recognition - ICDAR 202410.1007/978-3-031-70549-6_18(295-318)Online publication date: 9-Sep-2024
https://doi.org/10.1007/978-3-031-70549-6_18
Shehzadi TAzeem Hashmi KStricker DLiwicki MZeshan Afzal M(2023)Towards End-to-End Semi-Supervised Table Detection with Deformable TransformerDocument Analysis and Recognition - ICDAR 202310.1007/978-3-031-41679-8_4(51-76)Online publication date: 19-Aug-2023
https://doi.org/10.1007/978-3-031-41679-8_4
Minouei MHashmi KSoheili MAfzal MStricker D(2022)Continual Learning for Table Detection in Document ImagesApplied Sciences10.3390/app1218896912:18(8969)Online publication date: 7-Sep-2022
https://doi.org/10.3390/app12188969
Silva LBarbosa L(2022)Matching news articles and wikipedia tables for news augmentationKnowledge and Information Systems10.1007/s10115-022-01815-065:4(1713-1734)Online publication date: 27-Dec-2022
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Vineetha BHarini DYelesvarupu R(2021)Automatic Table Detection, Structure Recognition and Data Extraction from Document ImagesInternational Journal of Innovative Technology and Exploring Engineering10.35940/ijitee.I9349.071092110:9(73-79)Online publication date: 30-Jul-2021
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Hashmi KPagani ALiwicki MStricker DAfzal M(2021)CasTabDetectoRS: Cascade Network for Table Detection in Document Images with Recursive Feature Pyramid and Switchable Atrous ConvolutionJournal of Imaging10.3390/jimaging71002147:10(214)Online publication date: 16-Oct-2021
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Nazir DHashmi KPagani ALiwicki MStricker DAfzal M(2021)HybridTabNet: Towards Better Table Detection in Scanned Document ImagesApplied Sciences10.3390/app1118839611:18(8396)Online publication date: 11-Sep-2021
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