{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:05:49Z","timestamp":1750309549913,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:00:00Z","timestamp":1723507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,13]]},"DOI":"10.1145\/3706890.3706897","type":"proceedings-article","created":{"date-parts":[[2025,1,13]],"date-time":"2025-01-13T13:37:20Z","timestamp":1736775440000},"page":"41-45","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Gated and Attention Mechanism Model for Clinical Diagnosis Normalization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3258-7655","authenticated-orcid":false,"given":"Hongxin","family":"Li","sequence":"first","affiliation":[{"name":"Dept of Computer Science, Jinan University, Guangzhou, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2782-0781","authenticated-orcid":false,"given":"Shun","family":"Long","sequence":"additional","affiliation":[{"name":"Dept of Computer Science, Jinan University, Guangzhou, Guangdong, China"}]}],"member":"320","published-online":{"date-parts":[[2025,1,13]]},"reference":[{"key":"e_1_3_3_1_1_2","doi-asserted-by":"publisher","unstructured":"Xie P. & Xing E. 2018. A Neural Architecture for Automated ICD Coding. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Presented at the Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Melbourne Australia. 10.18653\/v1\/p18-1098","DOI":"10.18653\/v1\/p18-1098"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103418"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2147"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btt474"},{"key":"e_1_3_3_1_5_2","first-page":"234","volume-title":"Introduction to information retrieval (Vol. 39","author":"Sch\u00fctze H.","unstructured":"Sch\u00fctze, H., Manning, C. D., & Raghavan, P. 2008. Introduction to information retrieval (Vol. 39, pp. 234-265). Cambridge: Cambridge University Press."},{"key":"e_1_3_3_1_6_2","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32","author":"Luo Y.","year":"2018","unstructured":"Luo, Y., Song, G., Li, P., & Qi, Z. 2018, April. Multi-task medical concept normalization using multi-view convolutional neural network. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 32, No. 1)."},{"key":"e_1_3_3_1_7_2","first-page":"269","article-title":"Bert-based ranking for biomedical entity normalization","volume":"2020","author":"Ji Z.","year":"2020","unstructured":"Ji, Z., Wei, Q., & Xu, H. 2020. Bert-based ranking for biomedical entity normalization. AMIA Summits on Translational Science Proceedings, 2020, 269.","journal-title":"AMIA Summits on Translational Science Proceedings"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1356"},{"key":"e_1_3_3_1_9_2","unstructured":"Gholamalinezhad H. & Khosravi H. 2020. Pooling Methods in Deep Neural Networks a Review. arXiv e-prints arXiv-2009."},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.544"},{"key":"e_1_3_3_1_11_2","first-page":"4477","article-title":"-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"2020","author":"Kumar A","year":"2020","unstructured":"Kumar A, Vepa J. Gated mechanism for attention based multi modal sentiment analysis[C]\/\/ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020, 4477-4481.","journal-title":"IEEE"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01181"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2021.103718"},{"key":"e_1_3_3_1_14_2","volume-title":"Advances in Neural Information Processing Systems","author":"Vaswani A","year":"2017","unstructured":"Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need. Advances in Neural Information Processing Systems, 2017, 30."},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Hochreiter S. & Schmidhuber J. 1997. Long short-term memory. Neural computation 9(8) 1735-1780.","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_3_1_16_2","volume-title":"Promptcblue: A chinese prompt tuning benchmark for the medical domain. arXiv preprint arXiv:2310.14151.","author":"Zhu W.","year":"2023","unstructured":"Zhu, W., Wang, X., Zheng, H., Chen, M., & Tang, B. 2023. Promptcblue: A chinese prompt tuning benchmark for the medical domain. arXiv preprint arXiv:2310.14151."},{"key":"e_1_3_3_1_17_2","volume-title":"What does BERT learn about the structure of language?[C]\/\/ACL 2019-57th Annual Meeting of the Association for Computational Linguistics","author":"Jawahar G","year":"2019","unstructured":"Jawahar G, Sagot B, Seddah D. What does BERT learn about the structure of language?[C]\/\/ACL 2019-57th Annual Meeting of the Association for Computational Linguistics. 2019."},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Fan Y Zhu Y Xue K et al. RRNorm: A Novel Framework for Chinese Disease Diagnoses Normalization via LLM-Driven Terminology Component Recognition and Reconstruction[C]\/\/Findings of the Association for Computational Linguistics ACL 2024. 2024 9162-9175.","DOI":"10.18653\/v1\/2024.findings-acl.544"}],"event":{"name":"ISAIMS 2024: 2024 5th International Symposium on Artificial Intelligence for Medicine Science","acronym":"ISAIMS 2024","location":"Amsterdam Netherlands"},"container-title":["Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706890.3706897","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706890.3706897","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:46Z","timestamp":1750295926000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706890.3706897"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,13]]},"references-count":18,"alternative-id":["10.1145\/3706890.3706897","10.1145\/3706890"],"URL":"https:\/\/doi.org\/10.1145\/3706890.3706897","relation":{},"subject":[],"published":{"date-parts":[[2024,8,13]]},"assertion":[{"value":"2025-01-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}