{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T21:18:08Z","timestamp":1787692688230,"version":"build-2784847793"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","funder":[{"name":"This research was supported by the MSIT&#x28;Ministry of Science, ICT&#x29;, Korea, under the Global Research Support Program in the Digital Field program&#x28;RS-2024-00425354&#x29; supervised by the IITP&#x28;Institute for Information &amp; Communications Technology Planning &amp; Evaluation&#x29;","award":["RS-2024-00425354"],"award-info":[{"award-number":["RS-2024-00425354"]}]},{"name":"This research was supported by the MOTIE&#x28;Ministry of Trade, Industry and Energy&#x29;, Korea, under the Competitiveness Reinforcement Project&#x28;VCSK2502&#x29; For Industrial Clusters supervised by the KICOX&#x28;Korea Industrial Complex Corporation&#x29;","award":["VCSK2502"],"award-info":[{"award-number":["VCSK2502"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,8,9]]},"DOI":"10.1145\/3770854.3785698","type":"proceedings-article","created":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T12:07:40Z","timestamp":1785499660000},"page":"2675-2686","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8537-8672","authenticated-orcid":false,"given":"Migyeong","family":"Kang","sequence":"first","affiliation":[{"name":"Sungkyunkwan University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0503-6977","authenticated-orcid":false,"given":"Jihyun","family":"Kim","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4378-1208","authenticated-orcid":false,"given":"Hyolim","family":"Jeon","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3920-2040","authenticated-orcid":false,"given":"Sunwoo","family":"Hwang","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1628-9617","authenticated-orcid":false,"given":"Jihyun","family":"An","sequence":"additional","affiliation":[{"name":"Samsung Medical Center, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7006-489X","authenticated-orcid":false,"given":"Yonghoon","family":"Kim","sequence":"additional","affiliation":[{"name":"Omnicns, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1418-0834","authenticated-orcid":false,"given":"Haewoon","family":"Kwak","sequence":"additional","affiliation":[{"name":"Indiana University, Bloomington, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4353-8009","authenticated-orcid":false,"given":"Jisun","family":"An","sequence":"additional","affiliation":[{"name":"Indiana University, Bloomington, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8911-2791","authenticated-orcid":false,"given":"Jinyoung","family":"Han","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Seoul, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,20]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al., 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_2_2_1","volume-title":"American Psychiatric Association, et al","author":"DSMTF American Psychiatric Association","year":"2013","unstructured":"DSMTF American Psychiatric Association, American Psychiatric Association, et al., 2013. Diagnostic and statistical manual of mental disorders: DSM-5. Vol. 5. American psychiatric association Washington, DC."},{"key":"e_1_3_2_2_3_1","first-page":"652","volume-title":"7th IET Smart Cities Symposium (SCS","volume":"2023","year":"2023","unstructured":".Irfan AYG\u00dcN and KAYA Mehmet. 2023. Use of large language models for medical synthetic data generation in mental illness. In 7th IET Smart Cities Symposium (SCS 2023), Vol. 2023. IET, 652-656."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119538"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.562"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3191624"},{"key":"e_1_3_2_2_7_1","first-page":"128","volume-title":"Proceedings of the international AAAI conference on web and social media","volume":"7","author":"Choudhury Munmun De","year":"2013","unstructured":"Munmun De Choudhury, Michael Gamon, Scott Counts, and Eric Horvitz. 2013. Predicting depression via social media. In Proceedings of the international AAAI conference on web and social media, Vol. 7. 128-137."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858207"},{"key":"e_1_3_2_2_9_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_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-024-09720-4"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA52953.2021.00237"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2015.09.005"},{"key":"e_1_3_2_2_13_1","volume-title":"Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randy Welton, and Jyotishman Pathak.","author":"Gaur Manas","year":"2019","unstructured":"Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randy Welton, and Jyotishman Pathak. 2019. Knowledge-aware assessment of severity of suicide risk for early intervention. In The world wide web conference. 514-525."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3358206"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2020.09.029"},{"key":"e_1_3_2_2_16_1","volume-title":"Learning to automate follow-up question generation using process knowledge for depression triage on reddit posts. arXiv preprint arXiv:2205.13884","author":"Gupta Shrey","year":"2022","unstructured":"Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, and Amit Sheth. 2022. Learning to automate follow-up question generation using process knowledge for depression triage on reddit posts. arXiv preprint arXiv:2205.13884 (2022)."},{"key":"e_1_3_2_2_17_1","volume-title":"Deberta: Decoding-enhanced bert with disentangled attention. arXiv preprint arXiv:2006.03654","author":"He Pengcheng","year":"2020","unstructured":"Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020. Deberta: Decoding-enhanced bert with disentangled attention. arXiv preprint arXiv:2006.03654 (2020)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17541"},{"key":"e_1_3_2_2_19_1","volume-title":"Leveraging the potential of synthetic text for AI in mental healthcare. Frontiers in digital health","author":"Ive Julia","year":"2022","unstructured":"Julia Ive. 2022. Leveraging the potential of synthetic text for AI in mental healthcare. Frontiers in digital health, Vol. 4 (2022), 1010202."},{"key":"e_1_3_2_2_20_1","volume-title":"Mentalbert: Publicly available pretrained language models for mental healthcare. arXiv preprint arXiv:2110.15621","author":"Ji Shaoxiong","year":"2021","unstructured":"Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, and Erik Cambria. 2021. Mentalbert: Publicly available pretrained language models for mental healthcare. arXiv preprint arXiv:2110.15621 (2021)."},{"key":"e_1_3_2_2_21_1","volume-title":"Zoe Lee-Youngzie, and Shuhao Fu.","author":"Kang Andrea","year":"2024","unstructured":"Andrea Kang, Jun Yu Chen, Zoe Lee-Youngzie, and Shuhao Fu. 2024a. Synthetic data generation with LLM for improved depression prediction. arXiv preprint arXiv:2411.17672 (2024)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.994"},{"key":"e_1_3_2_2_23_1","volume-title":"Standardization of the depression screener patient health questionnaire (PHQ-9) in the general population. General hospital psychiatry","author":"Kocalevent R\u00fcya-Daniela","year":"2013","unstructured":"R\u00fcya-Daniela Kocalevent, Andreas Hinz, and Elmar Br\u00e4hler. 2013. Standardization of the depression screener patient health questionnaire (PHQ-9) in the general population. General hospital psychiatry, Vol. 35, 5 (2013), 551-555."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-long.278"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.clpsych-1.10"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.200"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589335.3651584"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2215-0366(23)00193-1"},{"key":"e_1_3_2_2_29_1","volume-title":"Your model is not predicting depression well and that is why: A case study of PRIMATE dataset. arXiv preprint arXiv:2403.00438","author":"Milintsevich Kirill","year":"2024","unstructured":"Kirill Milintsevich, Kairit Sirts, and Ga\u00ebl Dias. 2024. Your model is not predicting depression well and that is why: A case study of PRIMATE dataset. arXiv preprint arXiv:2403.00438 (2024)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W15-1211"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1080\/15374416.2018.1437735"},{"key":"e_1_3_2_2_32_1","volume-title":"Improving the generalizability of depression detection by leveraging clinical questionnaires. arXiv preprint arXiv:2204.10432","author":"Nguyen Thong","year":"2022","unstructured":"Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, and Arman Cohan. 2022. Improving the generalizability of depression detection by leveraging clinical questionnaires. arXiv preprint arXiv:2204.10432 (2022)."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1037\/abn0000847"},{"key":"e_1_3_2_2_34_1","volume-title":"Andrew Krystal, Daniel Becker, Anne L Glowinski, and Atul J Butte.","author":"Sarma Karthik V","year":"2025","unstructured":"Karthik V Sarma, Kaitlin E Hanss, Andrew JM Halls, Andrew Krystal, Daniel Becker, Anne L Glowinski, and Atul J Butte. 2025. Integrating Expert Knowledge into Large Language Models Improves Performance for Psychiatric Reasoning and Diagnosis. medRxiv (2025), 2025-07."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-3107"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909180"},{"key":"e_1_3_2_2_37_1","volume-title":"PsychSynth: Advancing Mental Health AI Through Synthetic Data Generation and Curriculum Training. In 2024 9th International Conference on Computer Science and Engineering (UBMK). IEEE, 1-6.","author":"Vedanta SP","year":"2024","unstructured":"SP Vedanta and Madhav Rao. 2024. PsychSynth: Advancing Mental Health AI Through Synthetic Data Generation and Curriculum Training. In 2024 9th International Conference on Computer Science and Engineering (UBMK). IEEE, 1-6."},{"key":"e_1_3_2_2_38_1","volume-title":"Roy Ka-Wei Lee, and Ee-Peng Lim","author":"Wang Lei","year":"2023","unstructured":"Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, and Ee-Peng Lim. 2023. Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models. arXiv preprint arXiv:2305.04091 (2023)."},{"key":"e_1_3_2_2_39_1","volume-title":"Denny Zhou, et al.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al., 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems, Vol. 35 (2022), 24824-24837."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.495"},{"key":"e_1_3_2_2_41_1","volume-title":"Krishnaprasad Thirunarayan, Amit Sheth, and Jeremiah Schumm.","author":"Yadav Shweta","year":"2020","unstructured":"Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit Sheth, and Jeremiah Schumm. 2020. Identifying depressive symptoms from tweets: Figurative language enabled multitask learning framework. arXiv preprint arXiv:2011.06149 (2020)."},{"key":"e_1_3_2_2_42_1","volume-title":"Extracting depressive symptoms and their associations from an online depression community. Computers in human behavior","author":"Yao Xiaoxu","year":"2021","unstructured":"Xiaoxu Yao, Guang Yu, Jingyun Tang, and Jialing Zhang. 2021. Extracting depressive symptoms and their associations from an online depression community. Computers in human behavior, Vol. 120 (2021), 106734."},{"key":"e_1_3_2_2_43_1","volume-title":"Depression and self-harm risk assessment in online forums. arXiv preprint arXiv:1709.01848","author":"Yates Andrew","year":"2017","unstructured":"Andrew Yates, Arman Cohan, and Nazli Goharian. 2017. Depression and self-harm risk assessment in online forums. arXiv preprint arXiv:1709.01848 (2017)."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2023.103417"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.677"}],"event":{"name":"KDD '26: The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Jeju Island Republic of Korea","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 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3770854.3785698","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T20:18:37Z","timestamp":1787689117000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3770854.3785698"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,20]]},"references-count":45,"alternative-id":["10.1145\/3770854.3785698","10.1145\/3770854"],"URL":"https:\/\/doi.org\/10.1145\/3770854.3785698","relation":{},"subject":[],"published":{"date-parts":[[2026,4,20]]},"assertion":[{"value":"2026-04-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}