{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T15:12:04Z","timestamp":1780413124359,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":65,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T00:00:00Z","timestamp":1745280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"name":"Wellcome Trust funded VITAL Project","award":["204904\/Z\/16\/Z"],"award-info":[{"award-number":["204904\/Z\/16\/Z"]}]},{"name":"NSFC","award":["62306039"],"award-info":[{"award-number":["62306039"]}]},{"name":"EPSRC","award":["EP\/W031744\/1"],"award-info":[{"award-number":["EP\/W031744\/1"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["310422127"],"award-info":[{"award-number":["310422127"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,22]]},"DOI":"10.1145\/3696410.3714901","type":"proceedings-article","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T16:42:02Z","timestamp":1746463322000},"page":"1866-1876","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-9536-8082","authenticated-orcid":false,"given":"Xin","family":"Wang","sequence":"first","affiliation":[{"name":"University of Oxford, Oxford, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7378-4342","authenticated-orcid":false,"given":"Ling","family":"Feng","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3048-4969","authenticated-orcid":false,"given":"Huijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Huaneng, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2778-6870","authenticated-orcid":false,"given":"Lei","family":"Cao","sequence":"additional","affiliation":[{"name":"Beijing Normal University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8104-9652","authenticated-orcid":false,"given":"Kaisheng","family":"Zeng","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0696-5252","authenticated-orcid":false,"given":"Qi","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Normal University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2992-6758","authenticated-orcid":false,"given":"Yang","family":"Ding","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1219-2436","authenticated-orcid":false,"given":"Yi","family":"Dai","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9848-8555","authenticated-orcid":false,"given":"David","family":"Clifton","sequence":"additional","affiliation":[{"name":"University of Oxford, Oxford, United Kingdom and Oxford Suzhou Centre for Advanced Research, Suzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,4,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.34190\/ecsm.11.1.2273"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Edward S Bordin. 1955. Psychological counseling. (1955).","DOI":"10.1037\/10642-000"},{"key":"e_1_3_2_1_4_1","volume-title":"Category-Aware Chronic Stress Detection on Microblogs","author":"Cao Lei","year":"2021","unstructured":"Lei Cao, Huijun Zhang, Ningyun Li, Xin Wang, Wisong Ri, and Ling Feng. 2021. Category-Aware Chronic Stress Detection on Microblogs. IEEE Journal of Biomedical and Health Informatics (2021)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287587"},{"key":"e_1_3_2_1_6_1","volume-title":"A global measure of perceived stress. Journal of health and social behavior","author":"Cohen Sheldon","year":"1983","unstructured":"Sheldon Cohen, Tom Kamarck, and Robin Mermelstein. 1983. A global measure of perceived stress. Journal of health and social behavior (1983), 385--396."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_8_1","volume-title":"International conference on machine learning. PMLR, 1126--1135","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In International conference on machine learning. PMLR, 1126--1135."},{"key":"e_1_3_2_1_9_1","volume-title":"Probabilistic model-agnostic meta-learning. Advances in neural information processing systems","author":"Finn Chelsea","year":"2018","unstructured":"Chelsea Finn, Kelvin Xu, and Sergey Levine. 2018. Probabilistic model-agnostic meta-learning. Advances in neural information processing systems, Vol. 31 (2018)."},{"key":"e_1_3_2_1_10_1","unstructured":"Mental Health Foundation. 2022. Stress: are we coping? https:\/\/www.mentalhealth.org.uk\/publications\/stress-are-we-coping."},{"key":"e_1_3_2_1_11_1","volume-title":"Alspector (Eds.)","volume":"6","author":"French Robert","year":"1993","unstructured":"Robert French. 1993. Catastrophic interference in connectionist networks: Can It Be predicted, can It be prevented?. In Advances in Neural Information Processing Systems, J. Cowan, G. Tesauro, and J. Alspector (Eds.), Vol. 6. Morgan-Kaufmann. https:\/\/proceedings.neurips.cc\/paper\/1993\/file\/28267ab848bcf807b2ed53c3a8f8fc8a-Paper.pdf"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-0167.31.3.306"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Reshmi Gopalakrishna Pillai Mike Thelwall and Constantin Orasan. 2018. Detection of stress and relaxation magnitudes for tweets. In WWW. 1677--1684.","DOI":"10.1145\/3184558.3191627"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Sharath Chandra Guntuku Anneke Buffone and Kokil Jaidka. 2019. Understanding and measuring psychological stress using social media. In AAAI. 214--225.","DOI":"10.1609\/icwsm.v13i01.3223"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","unstructured":"Matthew Henderson Ivan Vuli\u0107 and et al. 2021. ConVEx: Data-Efficient and Few-Shot Slot Labeling. In NAACL. Association for Computational Linguistics Online 3375--3389. hrefhttps:\/\/doi.org\/10.18653\/v1\/2021.naacl-main.264doi:nolinkurl10.18653\/v1\/2021.naacl-main.264","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_16_1","volume-title":"Deep Learning and Representation Learning Workshop. NIPS.","author":"Hinton Geoffrey","year":"2014","unstructured":"Geoffrey Hinton, Oriol Vinyals, Jeff Dean, et al. 2014. Distilling the knowledge in a neural network. In Deep Learning and Representation Learning Workshop. NIPS."},{"key":"e_1_3_2_1_17_1","volume-title":"The social readjustment rating scale. Journal of psychosomatic research","author":"Holmes Thomas H","year":"1967","unstructured":"Thomas H Holmes and Richard H Rahe. 1967. The social readjustment rating scale. Journal of psychosomatic research (1967)."},{"key":"e_1_3_2_1_18_1","volume-title":"Meta-learning in neural networks: A survey","author":"Hospedales Timothy","year":"2021","unstructured":"Timothy Hospedales, Antreas Antoniou, Paul Micaelli, and Amos Storkey. 2021. Meta-learning in neural networks: A survey. IEEE transactions on pattern analysis and machine intelligence, Vol. 44, 9 (2021), 5149--5169."},{"key":"e_1_3_2_1_19_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_20_1","volume-title":"Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001","author":"Lafferty John D.","year":"2001","unstructured":"John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001, Carla E. Brodley and Andrea Pohoreckyj Danyluk (Eds.). Morgan Kaufmann, 282--289."},{"key":"e_1_3_2_1_21_1","unstructured":"Richard S Lazarus. 1966. Psychological stress and the coping process. (1966)."},{"key":"e_1_3_2_1_22_1","first-page":"1434","article-title":"Analyzing and identifying teens' stressful periods and stressor events from a microblog","volume":"21","author":"Li Qi","year":"2016","unstructured":"Qi Li, Yuanyuan Xue, Liang Zhao, Jia Jia, et al. 2016. Analyzing and identifying teens' stressful periods and stressor events from a microblog. JBHI, Vol. 21, 5 (2016), 1434--1448.","journal-title":"JBHI"},{"key":"e_1_3_2_1_23_1","unstructured":"Huijie Lin Jia Jia Quan Guo et al. 2014. Psychological stress detection from cross-media microblog data using deep sparse neural network. In ICME. IEEE 1--6."},{"key":"e_1_3_2_1_24_1","unstructured":"Huijie Lin Jia Jia Liqiang Nie and Guangyao Shen. 2016. What Does Social Media Say about Your Stress?. In IJCAI. 3775--3781."},{"key":"e_1_3_2_1_25_1","volume-title":"Life stress and health: Stressors and resources. American sociological review","author":"Lin Nan","year":"1989","unstructured":"Nan Lin and Walter M Ensel. 1989. Life stress and health: Stressors and resources. American sociological review (1989), 382--399."},{"key":"e_1_3_2_1_26_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i12.29312"},{"key":"e_1_3_2_1_28_1","unstructured":"Ilya Loshchilov and Frank Hutter. 2018. Fixing Weight Decay Regularization in Adam. https:\/\/openreview.net\/forum?id=rk6qdGgCZ"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.88"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_31_1","first-page":"339","article-title":"Named entity recognition approaches","volume":"8","author":"Mansouri Alireza","year":"2008","unstructured":"Alireza Mansouri, Lilly Suriani Affendey, and Ali Mamat. 2008. Named entity recognition approaches. International Journal of Computer Science and Network Security, Vol. 8, 2 (2008), 339--344.","journal-title":"International Journal of Computer Science and Network Security"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csi.2012.09.004"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.5121\/ijnlc.2012.1402"},{"key":"e_1_3_2_1_34_1","volume-title":"International Conference on Machine Learning. PMLR, 2554--2563","author":"Munkhdalai Tsendsuren","year":"2017","unstructured":"Tsendsuren Munkhdalai and Hong Yu. 2017. Meta networks. In International Conference on Machine Learning. PMLR, 2554--2563."},{"key":"e_1_3_2_1_35_1","volume-title":"On first-order meta-learning algorithms. arXiv preprint arXiv:1803.02999","author":"Nichol Alex","year":"2018","unstructured":"Alex Nichol, Joshua Achiam, and John Schulman. 2018. On first-order meta-learning algorithms. arXiv preprint arXiv:1803.02999 (2018)."},{"key":"e_1_3_2_1_36_1","unstructured":"Sachin Ravi and Hugo Larochelle. 2016. Optimization as a model for few-shot learning. (2016)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3134727"},{"key":"e_1_3_2_1_38_1","volume-title":"International conference on machine learning. PMLR","author":"Santoro Adam","year":"2016","unstructured":"Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy Lillicrap. 2016. Meta-learning with memory-augmented neural networks. In International conference on machine learning. PMLR, 1842--1850."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.3115\/1613715.1613855"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/1654576.1654581"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85287-2_42"},{"key":"e_1_3_2_1_42_1","volume-title":"Annual Report","year":"2021","unstructured":"Sina. 2021. Annual Report 2021. http:\/\/ir.weibo.com\/financial-information\/annual-reports."},{"key":"e_1_3_2_1_43_1","volume-title":"Prototypical networks for few-shot learning. Advances in neural information processing systems","author":"Snell Jake","year":"2017","unstructured":"Jake Snell, Kevin Swersky, and Richard Zemel. 2017. Prototypical networks for few-shot learning. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_44_1","volume-title":"Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research","author":"Srivastava Nitish","year":"2014","unstructured":"Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research, Vol. 15, 1 (2014), 1929--1958."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"e_1_3_2_1_46_1","volume-title":"TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management","author":"Thelwall Mike","year":"2017","unstructured":"Mike Thelwall. 2017. TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing & Management (2017), 106--121."},{"key":"e_1_3_2_1_47_1","first-page":"97","article-title":"Dreaddit: A Reddit Dataset for Stress Analysis in Social Media","volume":"2019","author":"Turcan Elsbeth","year":"2019","unstructured":"Elsbeth Turcan and Kathleen McKeown. 2019. Dreaddit: A Reddit Dataset for Stress Analysis in Social Media. EMNLP-IJCNLP 2019 (2019), 97.","journal-title":"EMNLP-IJCNLP"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Elsbeth Turcan Smaranda Muresan et al. 2021. Emotion-Infused Models for Explainable Psychological Stress Detection. In NAACL. 2895--2909.","DOI":"10.18653\/v1\/2021.naacl-main.230"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21393"},{"key":"e_1_3_2_1_50_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_51_1","volume-title":"A perspective view and survey of meta-learning. Artificial intelligence review","author":"Vilalta Ricardo","year":"2002","unstructured":"Ricardo Vilalta and Youssef Drissi. 2002. A perspective view and survey of meta-learning. Artificial intelligence review, Vol. 18, 2 (2002), 77--95."},{"key":"e_1_3_2_1_52_1","unstructured":"Oriol Vinyals Charles Blundell Timothy Lillicrap Daan Wierstra et al. 2016. Matching networks for one shot learning. Advances in neural information processing systems Vol. 29 (2016)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512013"},{"key":"e_1_3_2_1_55_1","volume-title":"Cognition Chain for Explainable Psychological Stress Detection on Social Media. arXiv preprint arXiv:2412.14009","author":"Wang Xin","year":"2024","unstructured":"Xin Wang, Boyan Gao, Yi Dai, Lei Cao, Liang Zhao, Yibo Yang, and David Clifton. 2024. Cognition Chain for Explainable Psychological Stress Detection on Social Media. arXiv preprint arXiv:2412.14009 (2024)."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"crossref","unstructured":"Xin Wang Huijun Zhang Lei Cao and Ling Feng. 2020. Leverage Social Media for Personalized Stress Detection. In ACM MM. 2710--2718.","DOI":"10.1145\/3394171.3413596"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599795"},{"key":"e_1_3_2_1_58_1","unstructured":"Lilian Weng. 2018. Meta-Learning: Learning to Learn Fast. https:\/\/lilianweng.github.io\/lil-log\/2018\/11\/30\/meta-learning.html."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29904"},{"key":"e_1_3_2_1_60_1","volume-title":"Detecting adolescent psychological pressures from micro-blog","author":"Xue Yuanyuan","unstructured":"Yuanyuan Xue, Qi Li, Li Jin, Ling Feng, David A Clifton, and Gari D Clifford. 2014. Detecting adolescent psychological pressures from micro-blog. In HIS. Springer, 83--94."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48743-4_10"},{"key":"e_1_3_2_1_62_1","volume-title":"Proceedings of the 27th International Conference on Computational Linguistics. 3879--3889","author":"Yang Jie","year":"2018","unstructured":"Jie Yang, Shuailong Liang, and Yue Zhang. 2018. Design Challenges and Misconceptions in Neural Sequence Labeling. In Proceedings of the 27th International Conference on Computational Linguistics. 3879--3889."},{"key":"e_1_3_2_1_63_1","volume-title":"International Conference on Machine Learning. PMLR, 11909--11919","author":"Yap Pauching","year":"2021","unstructured":"Pauching Yap, Hippolyt Ritter, and David Barber. 2021. Addressing catastrophic forgetting in few-shot problems. In International Conference on Machine Learning. PMLR, 11909--11919."},{"key":"e_1_3_2_1_64_1","volume-title":"Mohammad Ali Abbasi, and Huan Liu","author":"Zafarani Reza","year":"2014","unstructured":"Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu. 2014. Social media mining: an introduction. Cambridge University Press."},{"key":"e_1_3_2_1_65_1","volume-title":"A systematic exploration of the micro-blog feature space for teens stress detection. Health information science and systems","author":"Zhao Liang","year":"2016","unstructured":"Liang Zhao, Qi Li, Yuanyuan Xue, Jia Jia, and Ling Feng. 2016. A systematic exploration of the micro-blog feature space for teens stress detection. Health information science and systems, Vol. 4, 1 (2016), 1--12."}],"event":{"name":"WWW '25: The ACM Web Conference 2025","location":"Sydney NSW Australia","acronym":"WWW '25","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714901","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696410.3714901","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:54Z","timestamp":1750295934000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714901"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,22]]},"references-count":65,"alternative-id":["10.1145\/3696410.3714901","10.1145\/3696410"],"URL":"https:\/\/doi.org\/10.1145\/3696410.3714901","relation":{},"subject":[],"published":{"date-parts":[[2025,4,22]]},"assertion":[{"value":"2025-04-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}