{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:10:06Z","timestamp":1750219806451,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T00:00:00Z","timestamp":1692662400000},"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":[[2023,8,22]]},"DOI":"10.1145\/3573128.3609346","type":"proceedings-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T10:15:41Z","timestamp":1691144141000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["OntG-Bart"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6653-1934","authenticated-orcid":false,"given":"Sajad","family":"Sotudeh","sequence":"first","affiliation":[{"name":"IR Lab, Georgetown Univeristy, Washington, D.C., USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6349-5237","authenticated-orcid":false,"given":"Nazli","family":"Goharian","sequence":"additional","affiliation":[{"name":"IR Lab, Georgetown Univeristy, Washington, D.C., USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,22]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Antoine Bordes Nicolas Usunier Alberto Garc\u00eda-Dur\u00e1n Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NIPS."},{"key":"e_1_3_2_1_2_1","unstructured":"Qianglong Chen Feng-Lin Li Guohai Xu Ming Yan Ji Zhang and Yin Zhang. 2022. DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning. In IJCAI."},{"key":"e_1_3_2_1_3_1","volume-title":"Radev","author":"Erkan G\u00fcnes","year":"2004","unstructured":"G\u00fcnes Erkan and Dragomir R. Radev. 2004. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization. J. Artif. Intell. Res. 22 (2004)."},{"key":"e_1_3_2_1_4_1","volume-title":"Flanders and Paras Lakhani","author":"Adam","year":"2012","unstructured":"Adam E. Flanders and Paras Lakhani. 2012. Radiology reporting and communications: a look forward. Neuroimaging clinics of North America 22 3 (2012)."},{"volume-title":"EMNLP","author":"Gehrmann Sebastian","key":"e_1_3_2_1_5_1","unstructured":"Sebastian Gehrmann, Yuntian Deng, and Alexander Rush. 2018. Bottom-Up Abstractive Summarization. In EMNLP. ACL, Brussels, Belgium."},{"key":"e_1_3_2_1_6_1","volume-title":"Word Graph Guided Summarization for Radiology Findings. ArXiv","author":"Hu Jinpeng","year":"2021","unstructured":"Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, and Tsung-Hui Chang. 2021. Word Graph Guided Summarization for Radiology Findings. ArXiv (2021)."},{"key":"e_1_3_2_1_7_1","unstructured":"Jinpeng Hu Zhuo Li Zhihong Chen Zhuguo Li Xiang Wan and Tsung-Hui Chang. 2022. Graph Enhanced Contrastive Learning for Radiology Findings Summarization. In ACL."},{"key":"e_1_3_2_1_8_1","volume-title":"Roger G. Mark, and Steven Horng.","author":"Johnson Alistair E. W.","year":"2019","unstructured":"Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih ying Deng, Roger G. Mark, and Steven Horng. 2019. MIMIC-CXR: A large publicly available database of labeled chest radiographs. ArXiv abs\/1901.07042 (2019)."},{"key":"e_1_3_2_1_9_1","volume-title":"Trambert","author":"Kovacs Mark D.","year":"2018","unstructured":"Mark D. Kovacs, Maximilian Y Cho, Philip F. Burchett, and Michael A. Trambert. 2018. Benefits of Integrated RIS\/PACS\/Reporting Due to Automatic Population of Templated Reports. Current problems in diagnostic radiology 48 1 (2018), 37--39."},{"key":"e_1_3_2_1_10_1","volume-title":"Annual Meeting of the Association for Computational Linguistics.","author":"Lewis Mike","year":"2019","unstructured":"Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdel rahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2019. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. In Annual Meeting of the Association for Computational Linguistics."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Sean MacAvaney Bart Desmet Arman Cohan Luca Soldaini Andrew Yates Ayah Zirikly and Nazli Goharian. 2018. RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. In CLPsych@NAACL-HTL.","DOI":"10.18653\/v1\/W18-0618"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331319"},{"key":"e_1_3_2_1_13_1","volume-title":"Liang","author":"Mahajan Diwakar","year":"2021","unstructured":"Diwakar Mahajan, Ching-Huei Tsou, and Jennifer J. Liang. 2021. IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization. In BioNLP."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000302"},{"key":"e_1_3_2_1_15_1","volume-title":"Manning","author":"Liu Peter J.","year":"2017","unstructured":"Abigail See, Peter J. Liu, and Christopher D. Manning. 2017. Get To The Point: Summarization with Pointer-Generator Networks. In ACL. Association for Computational Linguistics, Vancouver, Canada."},{"volume-title":"Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization","author":"Sotudeh Sajad","key":"e_1_3_2_1_16_1","unstructured":"Sajad Sotudeh, Nazli Goharian, and Ross Filice. 2020. Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization. In ACL. Association for Computational Linguistics, Online."},{"key":"e_1_3_2_1_17_1","unstructured":"Josef Steinberger and Karel Jezek. 2004. Using latent semantic analysis in text summarization and summary evaluation. In ISIM."},{"key":"e_1_3_2_1_18_1","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems.","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_1_19_1","unstructured":"Petar Veli\u010dkovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR."},{"volume-title":"Dict-BERT: Enhancing Language Model Pre-training with Dictionary","author":"Yu Wenhao","key":"e_1_3_2_1_20_1","unstructured":"Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, and Meng Jiang. 2022. Dict-BERT: Enhancing Language Model Pre-training with Dictionary. Association for Computational Linguistics."},{"key":"e_1_3_2_1_21_1","volume-title":"Liu","author":"Zhang Jingqing","year":"2020","unstructured":"Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2020. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. In ICML."},{"key":"e_1_3_2_1_22_1","unstructured":"Xikun Zhang Antoine Bosselut Michihiro Yasunaga Hongyu Ren Percy Liang Christopher D Manning and Jure Leskovec. 2021. GreaseLM: Graph REASoning Enhanced Language Models. In ICLR."},{"volume-title":"Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis.","author":"Zhang Yuhao","key":"e_1_3_2_1_23_1","unstructured":"Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D. Manning, and Curtis P. Langlotz. 2018. Learning to Summarize Radiology Findings. In Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis."},{"key":"e_1_3_2_1_24_1","volume-title":"Summary: A Study of Summarizing Radiology Reports. In ACL.","author":"Zhang Yuhao","year":"2019","unstructured":"Yuhao Zhang, Derek Merck, Emily B Tsai, Christopher D. Manning, and C. Langlotz. 2019. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. In ACL."},{"key":"e_1_3_2_1_25_1","volume-title":"Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. ArXiv abs\/2003.08612","author":"Zhu Chenguang","year":"2020","unstructured":"Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, and Meng Jiang. 2020. Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. ArXiv abs\/2003.08612 (2020)."}],"event":{"name":"DocEng '23: ACM Symposium on Document Engineering 2023","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Limerick Ireland","acronym":"DocEng '23"},"container-title":["Proceedings of the ACM Symposium on Document Engineering 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573128.3609346","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3573128.3609346","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:45:38Z","timestamp":1750178738000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573128.3609346"}},"subtitle":["Ontology-Infused Clinical Abstractive Summarization"],"short-title":[],"issued":{"date-parts":[[2023,8,22]]},"references-count":25,"alternative-id":["10.1145\/3573128.3609346","10.1145\/3573128"],"URL":"https:\/\/doi.org\/10.1145\/3573128.3609346","relation":{},"subject":[],"published":{"date-parts":[[2023,8,22]]},"assertion":[{"value":"2023-08-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}