{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T18:16:54Z","timestamp":1783102614273,"version":"3.54.6"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819699209","type":"print"},{"value":"9789819699216","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-9921-6_35","type":"book-chapter","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T06:16:12Z","timestamp":1753424172000},"page":"432-443","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["LASDTab: A Complex Chinese Engineering Table Parsing Method Based on Local Attention and Semantic-Aware Unified Decoder"],"prefix":"10.1007","author":[{"given":"Xiaoxue","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruobing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiguang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,26]]},"reference":[{"key":"35_CR1","unstructured":"Vaswani, A., et al.: Attention is All You Need. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"35_CR2","unstructured":"Dosovitskiy, A., et al.: An Image is Worth 16\u00d716 Words: Transformers for Image Recognition at Scale. arXiv Preprint arXiv:2010.11929 (2020)"},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Ly, N., Atsuhiro, T.: An End-to-end Multi-task Learning Model for Image-based Table Recognition. arXiv Preprint arXiv:2303.08648 (2023)","DOI":"10.5220\/0011685000003417"},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Song, L., et al.: Robust table structure recognition network based on local and global perspectives. IEEE Access (2024)","DOI":"10.1109\/ACCESS.2024.3458946"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Guo, Z., et al.: RCAM-Transformer: A Novel Approach to Table Reconstruction Using Row-Column Attention Mechanism. International Workshop on Document Analysis Systems. Cham: Springer Nature Switzerland (2024)","DOI":"10.1007\/978-3-031-70442-0_7"},{"key":"35_CR6","unstructured":"Beltagy, I., Matthew E.P., Arman, C.: \u201cLongformer: The Long-document Transformer.\u201d arXiv Preprint arXiv:2004.05150 (2020)"},{"key":"35_CR7","unstructured":"Itonori, K.: Table structure recognition based on textblock arrangement and ruled line position. In: Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR\u201993). IEEE (1993)"},{"issue":"6","key":"35_CR8","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2016","unstructured":"Ren, S., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"He, K., et al.: Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"Schreiber, S., et al.: DeepDeSRT: deep learning for detection and structure recognition of tables in document images. In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). vol. 1. IEEE (2017)","DOI":"10.1109\/ICDAR.2017.192"},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Qiao, L., et al.: LGPMA: complicated table structure recognition with local and global pyramid mask alignment. In: International Conference on Document Analysis and Recognition. Cham: Springer International Publishing (2021)","DOI":"10.1007\/978-3-030-86549-8_7"},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Nassar, A., et al.: TableFormer: table structure understanding with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2022)","DOI":"10.1109\/CVPR52688.2022.00457"},{"key":"35_CR13","unstructured":"Peng, S., et al.: High-performance Transformers for Table Structure Recognition Need Early Convolutions. arXiv Preprint arXiv:2311.05565 (2023)"},{"key":"35_CR14","unstructured":"Peng, S., et al.: UniTable: Towards a Unified Framework for Table Recognition via Self-Supervised Pretraining. arXiv Preprint arXiv:2403.04822 (2024)"},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Zhang, Z, et al.: UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition. arXiv Preprint arXiv:2409.13148 (2024)","DOI":"10.18653\/v1\/2024.findings-emnlp.355"},{"key":"35_CR16","unstructured":"Kendall, A., Yarin, G., Roberto, C.: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2018)"},{"key":"35_CR17","doi-asserted-by":"crossref","unstructured":"Ly, Nam, T., Atsuhiro, T.: An end-to-end local attention based model for table recognition. International Conference on Document Analysis and Recognition. Cham: Springer Nature Switzerland (2023)","DOI":"10.1007\/978-3-031-41679-8_2"},{"key":"35_CR18","unstructured":"Loshchilov, I., Frank, H.: Decoupled Weight Decay Regularization. arXiv Preprint arXiv:1711.05101 (2017)"},{"key":"35_CR19","doi-asserted-by":"crossref","unstructured":"Zhong, X., Elaheh, S., Antonio, J.: Image-based table recognition: data, model, and evaluation. In: European Conference on Computer Vision. Cham: Springer International Publishing (2020)","DOI":"10.1007\/978-3-030-58589-1_34"},{"key":"35_CR20","doi-asserted-by":"crossref","unstructured":"Zheng, X., et al.: Global table extractor (GTE): a framework for joint table identification and cell structure recognition using visual context. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (2021)","DOI":"10.1109\/WACV48630.2021.00074"},{"key":"35_CR21","doi-asserted-by":"crossref","unstructured":"Wang, C., Alexey, B., Hong-Yuan, M.: Scaled-YOLOv4: scaling cross stage partial network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2021)","DOI":"10.1109\/CVPR46437.2021.01283"},{"key":"35_CR22","doi-asserted-by":"crossref","unstructured":"Huang, Y., et al.: Improving table structure recognition with visual-alignment sequential coordinate modeling. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2023)","DOI":"10.1109\/CVPR52729.2023.01071"},{"key":"35_CR23","unstructured":"Baidu PaddleOCR Team. SLANet_plus: Enhanced Table Structure Recognition Model. https:\/\/paddlepaddle.github.io\/PaddleX. Accessed 09 Jan 2025"}],"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\/978-981-96-9921-6_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T17:36:01Z","timestamp":1783100161000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9921-6_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819699209","9789819699216"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9921-6_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"26 July 2025","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":"Ningbo","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}