{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:58:34Z","timestamp":1743073114932,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819947515"},{"type":"electronic","value":"9789819947522"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-4752-2_7","type":"book-chapter","created":{"date-parts":[[2023,7,30]],"date-time":"2023-07-30T16:02:10Z","timestamp":1690732930000},"page":"77-89","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Information Extraction System for Invoices and Receipts"],"prefix":"10.1007","author":[{"given":"QiuXing Michelle","family":"Tan","sequence":"first","affiliation":[]},{"given":"Qi","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Chee Kiat","family":"Seow","sequence":"additional","affiliation":[]},{"given":"Peter Chunyu","family":"Yau","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,31]]},"reference":[{"issue":"3","key":"7_CR1","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1108\/03074800310467043","volume":"104","author":"R Turner","year":"2003","unstructured":"Turner, R.: The myth of the paperless office. New Libr. World 104(3), 120\u2013121 (2003)","journal-title":"New Libr. World"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Klein, B., Agne, S., Dengel, A.: Results of a study on invoice-reading systems in Germany. In: International Workshop on Document Analysis Systems, pp. 451\u2013462 (2004)","DOI":"10.1007\/978-3-540-28640-0_43"},{"key":"7_CR3","unstructured":"Document Recognizer to modernize information processing. https:\/\/crossmasters.com\/en\/blog\/document-recognizer-to-modernize-information-processing\/. Accessed 16 July 2022"},{"key":"7_CR4","unstructured":"Kay, A.: Tesseract: an open-source optical character recognition engine. Linux Journal (2007)"},{"key":"7_CR5","unstructured":"Amazon Web Services: Form Data (Key-Value Pairs). https:\/\/docs.aws.amazon.com\/textract\/latest\/dg\/how-it-works-kvp.html. Accessed 15 June 2022"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.neunet.2021.02.015","volume":"139","author":"Y Qing","year":"2021","unstructured":"Qing, Y., Zeng, Y., Cao, Q., Huang, G.-B.: End-to-end novel visual categories learning via auxiliary self-supervision. Neural Netw. 139, 24\u201332 (2021)","journal-title":"Neural Netw."},{"key":"7_CR7","doi-asserted-by":"publisher","unstructured":"Xu, D., Li, Z., Cao, Q.: Object-based illumination transferring and rendering for applications of mixed reality. Vis. Comput. 1\u201315 (2021). https:\/\/doi.org\/10.1007\/s00371-021-02292-2","DOI":"10.1007\/s00371-021-02292-2"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Kumar, V., Kaware, P., Singh, P., et al.: Extraction of information from bill receipts using optical character recognition. In: International Conference on Smart Electronics and Communication, pp. 72\u201377 (2020)","DOI":"10.1109\/ICOSEC49089.2020.9215246"},{"key":"7_CR9","doi-asserted-by":"crossref","unstructured":"Kamisetty, V.S.R., Chidvilas, B.S., Revathy, S., et al.: Digitization of data from invoice using OCR. In: 6th International Conference on Computing Methodologies and Communication, pp. 1\u201310 (2022)","DOI":"10.1109\/ICCMC53470.2022.9754117"},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Kal\u00f3, \u00c1.Z., Sipos, M.L.: Key-value pair searching system via tesseract OCR and post processing. In: 19th World Symposium on Applied Machine Intelligence and Informatics, pp. 000461\u2013000464 (2021)","DOI":"10.1109\/SAMI50585.2021.9378680"},{"key":"7_CR11","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: Pre-training of deep bidirectional transformers for language understanding. North American Chapter of the Association for Computational Linguistics (2019)"},{"key":"7_CR12","unstructured":"Liu, Y., Ott, M., Goyal, N., et al.: RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv:1907.11692 (2019)"},{"key":"7_CR13","unstructured":"Wang, W., Bi, B., Yan, M., et al.: StructBERT: incorporating language structures into pre-training for deep language understanding. In: International Conference on Learning Representations (2020)"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Xu, Y., Li, M., Cui, L., et al.: LayoutLM: pre-training of text and layout for document image understanding. In: 26th ACM International Conference on Knowledge Discovery & Data Mining, pp. 1192\u20131200 (2020)","DOI":"10.1145\/3394486.3403172"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Xu, Y., Xu, Y., Lv, T., et al.: LayoutLMv2: multi-modal pre-training for visually-rich document understanding. In: 59th Annual Meeting of the Association for Computational Linguistics and 11th International Joint Conference on Natural Language Processing (2021)","DOI":"10.18653\/v1\/2021.acl-long.201"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Jaume, G. Ekenel H. K., Thiran, J.: FUNSD: a dataset for form understanding in noisy scanned documents. In: International Conference on Document Analysis and Recognition Workshops, pp. 1\u20136 (2019)","DOI":"10.1109\/ICDARW.2019.10029"},{"key":"7_CR17","doi-asserted-by":"publisher","unstructured":"Garncarek, \u0141., et al.: LAMBERT: layout-aware language modeling for information extraction. In: Llad\u00f3s, J., Lopresti, D., Uchida, S. (eds.) ICDAR 2021. LNCS, vol. 12821, pp. 532\u2013547. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86549-8_34","DOI":"10.1007\/978-3-030-86549-8_34"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Li, C., Bi, B., Yan, M., et al.: StructuralLM: structural pre-training for form understanding. In: 59th Annual Meeting of the Association for Computational Linguistics and 11th International Joint Conference on Natural Language Processing (2021)","DOI":"10.18653\/v1\/2021.acl-long.493"},{"key":"7_CR19","unstructured":"Banksy Annotation Tool. https:\/\/github.com\/AboutGoods\/Banksy-annotation-tool. Accessed 18 June 2022"},{"key":"7_CR20","unstructured":"Muller, B.: BERT 101 state of the art NLP model explained. https:\/\/huggingface.co\/blog\/bert-101. Accessed 21 June 2022"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Howard, J., Ruder, S.: Universal language model fine-tuning for text classification. In: 56th Annual Meeting of the Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/P18-1031"},{"key":"7_CR22","unstructured":"ICDAR 2019 robust reading challenge on scanned receipts OCR and information extraction. https:\/\/rrc.cvc.uab.es\/?ch=13&com=tasks. Accessed 13 June 2022"},{"key":"7_CR23","unstructured":"Agrawal, S.: Metrics to evaluate your classification model to take the right decisions. https:\/\/www.analyticsvidhya.com\/blog\/2021\/07\/metrics-to-evaluate-your-classification-model-to-take-the-right-decisions\/. Accessed 21 June 2022"},{"key":"7_CR24","unstructured":"Johansen, B.: Named-entity recognition for Norwegian. In: 22nd Nordic Conference on Computational Linguistics, pp. 222-231 (2019)"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Huang, Y., Lv, T., Cui, L., Lu, Y., Wei, F.: LayoutLMv3: Pre-training for document AI with unified text and image masking. arXiv:2204.08387 (2022)","DOI":"10.1145\/3503161.3548112"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-4752-2_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,25]],"date-time":"2024-10-25T09:21:19Z","timestamp":1729848079000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-4752-2_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819947515","9789819947522"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-4752-2_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2023\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}