{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:16:20Z","timestamp":1759133780129,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031065545"},{"type":"electronic","value":"9783031065552"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-06555-2_13","type":"book-chapter","created":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T09:10:13Z","timestamp":1652778613000},"page":"184-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Information Extraction from Handwritten Tables in Historical Documents"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5541-8231","authenticated-orcid":false,"given":"Jos\u00e9","family":"Andr\u00e9s","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1207-6024","authenticated-orcid":false,"given":"Jose Ram\u00f3n","family":"Prieto","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5782-7568","authenticated-orcid":false,"given":"Emilio","family":"Granell","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1721-5732","authenticated-orcid":false,"given":"Ver\u00f3nica","family":"Romero","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0423-2020","authenticated-orcid":false,"given":"Joan Andreu","family":"S\u00e1nchez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4579-5196","authenticated-orcid":false,"given":"Enrique","family":"Vidal","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,18]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Ares Oliveira, S., Seguin, B., Kaplan, F.: DhSegment: a generic deep-learning approach for document segmentation. In: Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, pp. 7\u201312 (2018)","DOI":"10.1109\/ICFHR-2018.2018.00011"},{"key":"13_CR2","doi-asserted-by":"crossref","unstructured":"Bisani, M., Ney, H.: Bootstrap estimates for confidence intervals in ASR performance evaluation. In: ICASSP, vol. 1, pp. 409\u2013412 (2004)","DOI":"10.1109\/ICASSP.2004.1326009"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Gao, L., et al.: ICDAR 2019 competition on table detection and recognition (cTDaR). In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 1510\u20131515 (2019)","DOI":"10.1109\/ICDAR.2019.00243"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Gilani, A., Qasim, S.R., Malik, I., Shafait, F.: Table detection using deep learning. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 1, pp. 771\u2013776 (2017)","DOI":"10.1109\/ICDAR.2017.131"},{"issue":"5","key":"13_CR5","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1109\/TPAMI.2008.137","volume":"31","author":"A Graves","year":"2009","unstructured":"Graves, A., Liwicki, M., Fern\u00e1ndez, S., Bertolami, R., Bunke, H., Schmidhuber, J.: A novel connectionist system for unconstrained handwriting recognition. IEEE TPAMI 31(5), 855\u2013868 (2009)","journal-title":"IEEE TPAMI"},{"key":"13_CR6","unstructured":"Heigold, G.: A log-linear discriminative modeling framework for speech recognition (2010)"},{"key":"13_CR7","unstructured":"Kingma, D.P., Ba, J.L.: Adam: a method for stochastic optimization. In: 3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings (2015)"},{"key":"13_CR8","doi-asserted-by":"publisher","unstructured":"Lang, E., Puigcerver, J., Toselli, A.H., Vidal, E.: Probabilistic indexing and search for information extraction on handwritten German parish records. In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 44\u201349 (2018). https:\/\/doi.org\/10.1109\/ICFHR-2018.2018.00017","DOI":"10.1109\/ICFHR-2018.2018.00017"},{"issue":"8","key":"13_CR9","first-page":"707","volume":"10","author":"VI Levenshtein","year":"1966","unstructured":"Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. Sov. Phys. Dokl. 10(8), 707\u2013710 (1966)","journal-title":"Sov. Phys. Dokl."},{"key":"13_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1007\/978-3-030-86549-8_35","volume-title":"Document Analysis and Recognition \u2013 ICDAR 2021","author":"W Lin","year":"2021","unstructured":"Lin, W., et al.: ViBERTgrid: a jointly trained multi-modal 2D document representation for key information extraction from documents. In: Llad\u00f3s, J., Lopresti, D., Uchida, S. (eds.) ICDAR 2021. LNCS, vol. 12821, pp. 548\u2013563. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86549-8_35"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Och, F.J., Ney, H.: Discriminative training and maximum entropy models for statistical machine translation. In: Proceedings of the 40th Annual meeting of the Association for Computational Linguistics, pp. 295\u2013302 (2002)","DOI":"10.3115\/1073083.1073133"},{"issue":"2","key":"13_CR12","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1093\/comjnl\/7.2.155","volume":"7","author":"MJ Powell","year":"1964","unstructured":"Powell, M.J.: An efficient method for finding the minimum of a function of several variables without calculating derivatives. Comput. J. 7(2), 155\u2013162 (1964)","journal-title":"Comput. J."},{"key":"13_CR13","doi-asserted-by":"crossref","unstructured":"Prasad, A., Dejean, H., Meunier, J.L.: Versatile layout understanding via conjugate graph. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 287\u2013294 (2019)","DOI":"10.1109\/ICDAR.2019.00054"},{"key":"13_CR14","doi-asserted-by":"publisher","unstructured":"PRHLT: HisClima dataset, October 2020. https:\/\/doi.org\/10.5281\/zenodo.4106887","DOI":"10.5281\/zenodo.4106887"},{"key":"13_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/978-3-030-86331-9_33","volume-title":"Document Analysis and Recognition \u2013 ICDAR 2021","author":"JR Prieto","year":"2021","unstructured":"Prieto, J.R., Vidal, E.: Improved graph methods for table layout understanding. In: Llad\u00f3s, J., Lopresti, D., Uchida, S. (eds.) ICDAR 2021. LNCS, vol. 12822, pp. 507\u2013522. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86331-9_33"},{"key":"13_CR16","doi-asserted-by":"crossref","unstructured":"Puigcerver, J.: Are multidimensional recurrent layers really necessary for handwritten text recognition? In: ICDAR, vol. 01, pp. 67\u201372, November 2017","DOI":"10.1109\/ICDAR.2017.20"},{"key":"13_CR17","unstructured":"Puigcerver, J., Mochol\u00ed, C.: Pylaia (2018). https:\/\/github.com\/jpuigcerver\/PyLaia"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Qasim, S.R., Mahmood, H., Shafait, F.: Rethinking table recognition using graph neural networks. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 142\u2013147 (2019)","DOI":"10.1109\/ICDAR.2019.00031"},{"issue":"6","key":"13_CR19","doi-asserted-by":"publisher","first-page":"1658","DOI":"10.1016\/j.patcog.2012.11.024","volume":"46","author":"V Romero","year":"2013","unstructured":"Romero, V., et al.: The ESPOSALLES database: an ancient marriage license corpus for off-line handwriting recognition. Pattern Recogn. 46(6), 1658\u20131669 (2013)","journal-title":"Pattern Recogn."},{"key":"13_CR20","doi-asserted-by":"crossref","unstructured":"Romero, V., Forn\u00e9s, A., Granell, E., Vidal, E., S\u00e1nchez, J.A.: Information extraction in handwritten marriage licenses books. In: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, HIP 2019, pp. 66\u201371 (2019)","DOI":"10.1145\/3352631.3352637"},{"key":"13_CR21","unstructured":"Romero, V., S\u00e1nchez, J.A.: The HisClima database: historical weather logs for automatic transcription and information extraction. In: ICPR (2020)"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Siddiqui, S.A., Fateh, I.A., Rizvi, S.T.R., Dengel, A., Ahmed, S.: DeepTabStR: deep learning based table structure recognition. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. 1403\u20131409 (2019)","DOI":"10.1109\/ICDAR.2019.00226"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Stolcke, A.: SRILM-an extensible language modeling toolkit. In: Proceedings of the 3rd Annual Conference of the International Speech Communication Association (Interspeech), pp. 901\u2013904 (2002)","DOI":"10.21437\/ICSLP.2002-303"},{"key":"13_CR24","unstructured":"Vidal, E., Toselli, A.H., Puigcerver, J.: A probabilistic framework for lexicon-based keyword spotting in handwritten text images. arXiv preprint arXiv:2104.04556 (2021)"},{"key":"13_CR25","unstructured":"Wu, Y., Kirillov, A., Massa, F., Lo, W.Y., Girshick, R.: Detectron2 (2019). https:\/\/github.com\/facebookresearch\/detectron2"}],"container-title":["Lecture Notes in Computer Science","Document Analysis Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06555-2_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T05:14:50Z","timestamp":1727241290000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06555-2_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031065545","9783031065552"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06555-2_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"18 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Document Analysis Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"La Rochelle","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 May 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"das2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/das2022.univ-lr.fr\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"94","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"52","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"55% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.85","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}