{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T10:23:26Z","timestamp":1778149406551,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T00:00:00Z","timestamp":1660435200000},"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":[[2022,8,14]]},"DOI":"10.1145\/3534678.3539187","type":"proceedings-article","created":{"date-parts":[[2022,8,12]],"date-time":"2022-08-12T19:06:41Z","timestamp":1660331201000},"page":"3920-3930","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering"],"prefix":"10.1145","author":[{"given":"Aseem","family":"Srivastava","sequence":"first","affiliation":[{"name":"IIIT-Delhi, Delhi, UNK, India"}]},{"given":"Tharun","family":"Suresh","sequence":"additional","affiliation":[{"name":"IIIT-Delhi, Delhi, UNK, India"}]},{"given":"Sarah P.","family":"Lord","sequence":"additional","affiliation":[{"name":"Mpathic.ai; University of Washington, Bellevue, WA, USA"}]},{"given":"Md Shad","family":"Akhtar","sequence":"additional","affiliation":[{"name":"IIIT-Delhi, Delhi, UNK, India"}]},{"given":"Tanmoy","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"IIIT-Delhi, Delhi, UNK, India"}]}],"member":"320","published-online":{"date-parts":[[2022,8,14]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Khalid Mahmood Malik, and Ghaus M Malik","author":"Afzal Muhammad","year":"2020","unstructured":"Muhammad Afzal, Fakhare Alam, Khalid Mahmood Malik, and Ghaus M Malik. 2020. Clinical Context--Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation. 22, 10 (2020)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107152"},{"key":"e_1_3_2_1_3_1","volume-title":"Jordan","author":"Blei David M.","year":"2003","unstructured":"David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet Allocation. 3 (2003). Issue Jan."},{"key":"e_1_3_2_1_4_1","volume-title":"19th IEEE Symposium on ComputerBased Medical Systems (CBMS'06)","author":"Chen Ping","unstructured":"Ping Chen and R. Verma. 2006. A Query-Based Medical Information Summarization System Using Ontology Knowledge. In 19th IEEE Symposium on ComputerBased Medical Systems (CBMS'06). ISSN: 1063--7125."},{"key":"e_1_3_2_1_5_1","volume-title":"Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. arXiv:1805.11080 [cs] (May","author":"Chen Yen-Chun","year":"2018","unstructured":"Yen-Chun Chen and Mohit Bansal. 2018. Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. arXiv:1805.11080 [cs] (May 2018)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Yun-Nung Chen Yu Huang Ching-feng Yeh and Lin-Shan Lee. 2011. Spoken Lecture Summarization by Random Walk over a Graph Constructed with Automatically Extracted Key Terms. 933--936.","DOI":"10.21437\/Interspeech.2011-374"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.2196\/17787"},{"key":"e_1_3_2_1_8_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. (2019). arXiv:1810.04805"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.117"},{"key":"e_1_3_2_1_11_1","volume-title":"Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study. JMIR 8, 5 (10","author":"Gaur Manas","year":"2021","unstructured":"Manas Gaur, Vamsi Aribandi, Ugur Kursuncu, Amanuel Alambo, Valerie L Shalin, Krishnaprasad Thirunarayan, Jonathan Beich, Meera Narasimhan, and Amit Sheth. 2021. Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study. JMIR 8, 5 (10 May 2021)."},{"key":"e_1_3_2_1_12_1","unstructured":"Chih-Wen Goo and Yun-Nung Chen. 2018. Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts. (2018). arXiv:1809.05715"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-0267-x"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.335"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1177\/0706743716659417"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.1538"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 59th ACL and the 11th IJCNLP.","author":"Krishna Kundan","unstructured":"Kundan Krishna, Sopan Khosla, Jeffrey Bigham, and Zachary C. Lipton. 2021. Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques. In Proceedings of the 59th ACL and the 11th IJCNLP."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1525-1497.2001.016009606.x"},{"key":"e_1_3_2_1_19_1","volume-title":"ROUGE: A Package for Automatic Evaluation of Summaries.","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. ROUGE: A Package for Automatic Evaluation of Summaries. (2004)."},{"key":"e_1_3_2_1_20_1","volume-title":"Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. In 15th ACM International WSDM Conference (WSDM-22)","author":"Malhotra Ganeshan","year":"2021","unstructured":"Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md Shad Akhtar, and Tanmoy Chakraborty. 2021. Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. In 15th ACM International WSDM Conference (WSDM-22). \"Arizona, USA\". arXiv:2111.06647"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","unstructured":"Sabine Molenaar Lientje Maas Ver\u00f3nica Burriel Fabiano Dalpiaz and Sjaak Brinkkemper. 2020. Medical Dialogue Summarization for Automated Reporting in Healthcare. https:\/\/doi.org\/10.1007\/978--3-030--49165--9_7","DOI":"10.1007\/978--3-030--49165--9_7"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1028"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1206"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1177\/1460458220951719"},{"key":"e_1_3_2_1_25_1","unstructured":"Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li and Peter J Liu. 2020. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. (2020) 67."},{"key":"e_1_3_2_1_26_1","volume-title":"Multi-source, Multilingual Information Extraction and Summarization, R. Yangarber T. Poibeau","author":"Saggion Horacio","unstructured":"Horacio Saggion and Thierry Poibeau. 2012. Automatic Text Summarization: Past, Present and Future. In Multi-source, Multilingual Information Extraction and Summarization, R. Yangarber T. Poibeau; H. Saggion. J. Piskorski (Ed.). Springer."},{"key":"e_1_3_2_1_27_1","volume-title":"a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv:1910.01108 [cs] (Feb","author":"Sanh Victor","year":"2020","unstructured":"Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2020. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv:1910.01108 [cs] (Feb. 2020). arXiv: 1910.01108."},{"key":"e_1_3_2_1_28_1","volume-title":"QuestEval: Summarization Asks for Fact-based Evaluation. arXiv:2103.12693 [cs] (April","author":"Scialom Thomas","year":"2021","unstructured":"Thomas Scialom, Paul-Alexis Dray, Patrick Gallinari, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano, and Alex Wang. 2021. QuestEval: Summarization Asks for Fact-based Evaluation. arXiv:2103.12693 [cs] (April 2021)."},{"key":"e_1_3_2_1_29_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 Proceedings of the 55th ACL."},{"key":"e_1_3_2_1_30_1","volume-title":"Francis","author":"Sekhon Mandeep","year":"2017","unstructured":"Mandeep Sekhon, Martin Cartwright, and Jill J. Francis. 2017. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Services Research 17, 1 (26 Jan 2017)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.704"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.63"},{"key":"e_1_3_2_1_33_1","first-page":"1024","article-title":"Machine learning methods for clinical forms analysis in mental health","volume":"192","author":"Strauss John","year":"2013","unstructured":"John Strauss, Arturo Martinez Peguero, and Graeme Hirst. 2013. Machine learning methods for clinical forms analysis in mental health. Studies in Health Technology and Informatics 192 (2013), 1024.","journal-title":"Studies in Health Technology and Informatics"},{"key":"e_1_3_2_1_34_1","volume-title":"Predicting mental conditions based on \"history of present illness\" in psychiatric notes with deep neural networks. 75","author":"Tran Tung","year":"2017","unstructured":"Tung Tran and Ramakanth Kavuluru. 2017. Predicting mental conditions based on \"history of present illness\" in psychiatric notes with deep neural networks. 75 (2017)."},{"key":"e_1_3_2_1_35_1","volume-title":"arXiv:1706.03762 [cs] (Dec","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. arXiv:1706.03762 [cs] (Dec. 2017). arXiv: 1706.03762."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Pascal Vincent Hugo Larochelle Y. Bengio and Pierre-Antoine Manzagol. 2008. Extracting and composing robust features with denoising autoencoders.","DOI":"10.1145\/1390156.1390294"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3110025.3123028"},{"key":"e_1_3_2_1_38_1","volume-title":"Chatsum: An Intelligent Medical Chat Summarization Tool. In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).","author":"Zafari Hasan","year":"2021","unstructured":"Hasan Zafari and Farhana Zulkernine. 2021. Chatsum: An Intelligent Medical Chat Summarization Tool. In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)."},{"key":"e_1_3_2_1_39_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. arXiv:1912.08777 (July 2020)."},{"key":"e_1_3_2_1_40_1","volume-title":"Thomas Schaaf, and Matthew R. Gormley.","author":"Zhang Longxiang","year":"2021","unstructured":"Longxiang Zhang, Renato Negrinho, Arindam Ghosh, Vasudevan Jagannathan, Hamid Reza Hassanzadeh, Thomas Schaaf, and Matthew R. Gormley. 2021. Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations. In Findings of the ACL: EMNLP 2021. ACL."},{"key":"e_1_3_2_1_41_1","unstructured":"Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger and Yoav Artzi. 2020. BERTScore: Evaluating Text Generation with BERT. arXiv:1904.09675 [cs.CL]"},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of the AAAI Conference 35","author":"Zou Yicheng","year":"2021","unstructured":"Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, and Xiaozhong Liu. 2021. Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware AutoEncoders. Proceedings of the AAAI Conference 35, 16 (May 2021)."}],"event":{"name":"KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Washington DC USA","acronym":"KDD '22","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3534678.3539187","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3534678.3539187","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:59Z","timestamp":1750186979000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3534678.3539187"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,14]]},"references-count":42,"alternative-id":["10.1145\/3534678.3539187","10.1145\/3534678"],"URL":"https:\/\/doi.org\/10.1145\/3534678.3539187","relation":{},"subject":[],"published":{"date-parts":[[2022,8,14]]},"assertion":[{"value":"2022-08-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}