{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T10:16:06Z","timestamp":1781518566414,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Science Foundation Key Project of Zhejiang Province","award":["LZ22F020014"],"award-info":[{"award-number":["LZ22F020014"]}]},{"name":"the Liaoning Foundation","award":["XL**2203002"],"award-info":[{"award-number":["XL**2203002"]}]},{"name":"Key R&D Sub- Project of the Ministry of Science and Technology","award":["2021YFF0307505"],"award-info":[{"award-number":["2021YFF0307505"]}]},{"name":"Liaoning Provincial Department of Education General Program","award":["JYTMS20230273"],"award-info":[{"award-number":["JYTMS20230273"]}]},{"name":"Open project of Key Laboratory of Computer Power Internet and Information Security of Ministry of Education","award":["2023ZD028"],"award-info":[{"award-number":["2023ZD028"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100005047","name":"Natural Science Foundation of Liaoning Province","doi-asserted-by":"publisher","award":["2021-MS-261"],"award-info":[{"award-number":["2021-MS-261"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100005047","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2022MF333"],"award-info":[{"award-number":["ZR2022MF333"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3679706","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T19:34:11Z","timestamp":1729452851000},"page":"436-445","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["ALDF: An Adaptive Logical Decision Framework for Multimodal Named Entity Recognition"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9548-7701","authenticated-orcid":false,"given":"Guohui","family":"Ding","sequence":"first","affiliation":[{"name":"Shenyang Aerospace University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9413-4703","authenticated-orcid":false,"given":"Tianhao","family":"Jiang","sequence":"additional","affiliation":[{"name":"Shenyang Aerospace University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6807-4362","authenticated-orcid":false,"given":"Rui","family":"Zhou","sequence":"additional","affiliation":[{"name":"Swinburne University of Technology, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0239-8708","authenticated-orcid":false,"given":"Qian","family":"Gao","sequence":"additional","affiliation":[{"name":"Qilu University of Technology (Shandong Academy of Sciences) & Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center) & Shandong Engineering Research Center of Big Data Applied Technology, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Deep evidential regression. Advances in neural information processing systems","author":"Amini Alexander","year":"2020","unstructured":"Alexander Amini, Wilko Schwarting, Ava Soleimany, and Daniela Rus. 2020. Deep evidential regression. Advances in neural information processing systems, Vol. 33 (2020), 14927--14937."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2019.00061"},{"key":"e_1_3_2_1_3_1","volume-title":"CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features. Neural Computing and Applications","author":"Asgari-Chenaghlu Meysam","year":"2022","unstructured":"Meysam Asgari-Chenaghlu, M Reza Feizi-Derakhshi, Leili Farzinvash, MA Balafar, and Cina Motamed. 2022. CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features. Neural Computing and Applications (2022), 1--18."},{"key":"e_1_3_2_1_4_1","volume-title":"Self-efficacy: toward a unifying theory of behavioral change. Psychological review","author":"Bandura Albert","year":"1977","unstructured":"Albert Bandura. 1977. Self-efficacy: toward a unifying theory of behavioral change. Psychological review, Vol. 84, 2 (1977), 191."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-73197-7_12"},{"key":"e_1_3_2_1_6_1","volume-title":"Can images help recognize entities? A study of the role of images for Multimodal NER. arXiv preprint arXiv:2010.12712","author":"Chen Shuguang","year":"2020","unstructured":"Shuguang Chen, Gustavo Aguilar, Leonardo Neves, and Thamar Solorio. 2020. Can images help recognize entities? A study of the role of images for Multimodal NER. arXiv preprint arXiv:2010.12712 (2020)."},{"key":"e_1_3_2_1_7_1","volume-title":"Good visual guidance makes a better extractor: Hierarchical visual prefix for multimodal entity and relation extraction. arXiv preprint arXiv:2205.03521","author":"Chen Xiang","year":"2022","unstructured":"Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen. 2022. Good visual guidance makes a better extractor: Hierarchical visual prefix for multimodal entity and relation extraction. arXiv preprint arXiv:2205.03521 (2022)."},{"key":"e_1_3_2_1_8_1","volume-title":"A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records. BMC bioinformatics","author":"Chowdhury Shanta","year":"2018","unstructured":"Shanta Chowdhury, Xishuang Dong, Lijun Qian, Xiangfang Li, Yi Guan, Jinfeng Yang, and Qiubin Yu. 2018. A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records. BMC bioinformatics, Vol. 19 (2018), 75--84."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1930297500000590"},{"key":"e_1_3_2_1_10_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0027807"},{"key":"e_1_3_2_1_13_1","volume-title":"Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991","author":"Huang Zhiheng","year":"2015","unstructured":"Zhiheng Huang, Wei Xu, and Kai Yu. 2015. Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991 (2015)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.25971"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548427"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Daniel Kahneman and Amos Tversky. 2013. Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making: Part I. World Scientific 99--127.","DOI":"10.1142\/9789814417358_0006"},{"key":"e_1_3_2_1_17_1","volume-title":"Neural architectures for named entity recognition. arXiv preprint arXiv:1603.01360","author":"Lample Guillaume","year":"2016","unstructured":"Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016. Neural architectures for named entity recognition. arXiv preprint arXiv:1603.01360 (2016)."},{"key":"e_1_3_2_1_18_1","volume-title":"Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101","author":"Loshchilov Ilya","year":"2017","unstructured":"Ilya Loshchilov and Frank Hutter. 2017. Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1185"},{"key":"e_1_3_2_1_20_1","volume-title":"End-to-end sequence labeling via bi-directional lstm-cnns-crf. arXiv preprint arXiv:1603.01354","author":"Ma Xuezhe","year":"2016","unstructured":"Xuezhe Ma and Eduard Hovy. 2016. End-to-end sequence labeling via bi-directional lstm-cnns-crf. arXiv preprint arXiv:1603.01354 (2016)."},{"key":"e_1_3_2_1_21_1","volume-title":"Multimodal named entity recognition for short social media posts. arXiv preprint arXiv:1802.07862","author":"Moon Seungwhan","year":"2018","unstructured":"Seungwhan Moon, Leonardo Neves, and Vitor Carvalho. 2018. Multimodal named entity recognition for short social media posts. arXiv preprint arXiv:1802.07862 (2018)."},{"key":"e_1_3_2_1_22_1","volume-title":"Garnett (Eds.)","volume":"31","author":"Sensoy Murat","year":"2018","unstructured":"Murat Sensoy, Lance Kaplan, and Melih Kandemir. 2018. Evidential Deep Learning to Quantify Classification Uncertainty. In Advances in Neural Information Processing Systems, S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett (Eds.), Vol. 31. Curran Associates, Inc."},{"key":"e_1_3_2_1_23_1","volume-title":"Dempster-shafer theory. Encyclopedia of artificial intelligence","author":"Shafer Glenn","year":"1992","unstructured":"Glenn Shafer. 1992. Dempster-shafer theory. Encyclopedia of artificial intelligence, Vol. 1 (1992), 330--331."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.168"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i15.17633"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.01.060"},{"key":"e_1_3_2_1_27_1","volume-title":"2nd rev.","author":"Neumann John Von","year":"1947","unstructured":"John Von Neumann and Oskar Morgenstern. 1947. Theory of games and economic behavior, 2nd rev. (1947)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2022EDP7116"},{"key":"e_1_3_2_1_29_1","volume-title":"ITA: image-text alignments for multi-modal named entity recognition. arXiv preprint arXiv:2112.06482","author":"Wang Xinyu","year":"2021","unstructured":"Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu. 2021. ITA: image-text alignments for multi-modal named entity recognition. arXiv preprint arXiv:2112.06482 (2021)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00129-1_24"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME52920.2022.9859972"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413650"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498475"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2011.0416"},{"key":"e_1_3_2_1_35_1","volume-title":"Improving multimodal named entity recognition via entity span detection with unified multimodal transformer","author":"Yu Jianfei","unstructured":"Jianfei Yu, Jing Jiang, Li Yang, and Rui Xia. 2020. Improving multimodal named entity recognition via entity span detection with unified multimodal transformer. Association for Computational Linguistics."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26309"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17687"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11962"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570485"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548228"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3013398"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.422"}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","location":"Boise ID USA","acronym":"CIKM '24","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679706","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3679706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:13Z","timestamp":1750294693000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679706"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":42,"alternative-id":["10.1145\/3627673.3679706","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3679706","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}