{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T22:03:27Z","timestamp":1757455407954},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p>Visual information extraction (VIE) has attracted increasing attention in recent years. The existing methods usually first organized optical character recognition (OCR) results in plain texts and then utilized token-level category annotations as supervision to train a sequence tagging model. However, it expends great annotation costs and may be exposed to label confusion, the OCR errors will also significantly affect the final performance. In this paper, we propose a unified weakly-supervised learning framework called TCPNet (Tag, Copy or Predict Network), which introduces 1) an efficient encoder to simultaneously model the semantic and layout information in 2D OCR results, 2) a weakly-supervised training method that utilizes only sequence-level supervision; and 3) a flexible and switchable decoder which contains two inference modes: one (Copy or Predict Mode) is to output key information sequences of different categories by copying a token from the input or predicting one in each time step, and the other (Tag Mode) is to directly tag the input sequence in a single forward pass. Our method shows new state-of-the-art performance on several public benchmarks, which fully proves its effectiveness.<\/jats:p>","DOI":"10.24963\/ijcai.2021\/150","type":"proceedings-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T11:00:49Z","timestamp":1628679649000},"page":"1082-1090","source":"Crossref","is-referenced-by-count":7,"title":["Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences"],"prefix":"10.24963","author":[{"given":"Jiapeng","family":"Wang","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, China"}]},{"given":"Tianwei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, China"}]},{"given":"Guozhi","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, China"}]},{"given":"Lianwen","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, China"},{"name":"Guangdong Artificial Intelligence and Digital Economy Laboratory (Pazhou Lab), Guangzhou, China"}]},{"given":"Weihong","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, China"}]},{"given":"Kai","family":"Ding","sequence":"additional","affiliation":[{"name":"IntSig Information Co., Ltd, Shanghai, China"}]},{"given":"Yichao","family":"Huang","sequence":"additional","affiliation":[{"name":"IntSig Information Co., Ltd, Shanghai, China"}]}],"member":"10584","event":{"number":"30","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2021","name":"Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}","start":{"date-parts":[[2021,8,19]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2021,8,27]]}},"container-title":["Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T11:01:39Z","timestamp":1628679699000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2021\/150"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2021\/150","relation":{},"subject":[],"published":{"date-parts":[[2021,8]]}}}