{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T16:55:03Z","timestamp":1774803303001,"version":"3.50.1"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T00:00:00Z","timestamp":1712275200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T00:00:00Z","timestamp":1712275200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LR23F020003"],"award-info":[{"award-number":["LR23F020003"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","award":["LTGG23F020005"],"award-info":[{"award-number":["LTGG23F020005"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972356"],"award-info":[{"award-number":["61972356"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62036009"],"award-info":[{"award-number":["62036009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Vis"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s12650-024-00980-4","type":"journal-article","created":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T12:02:07Z","timestamp":1712318527000},"page":"713-730","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["C5: toward better conversation comprehension and contextual continuity for ChatGPT"],"prefix":"10.1007","volume":"27","author":[{"given":"Pan","family":"Liang","sequence":"first","affiliation":[]},{"given":"Danwei","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Zihao","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Yunchao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Wang","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Ronghua","family":"Liang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8383-8153","authenticated-orcid":false,"given":"Guodao","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,5]]},"reference":[{"key":"980_CR1","doi-asserted-by":"crossref","unstructured":"Ahuja K, Hada R, Ochieng M, Jain P, Diddee H, Maina S, Ganu T, Segal S, Axmed M, Bali K et\u00a0al (2023) Mega: Multilingual evaluation of generative ai. arXiv preprint arXiv:2303.12528","DOI":"10.18653\/v1\/2023.emnlp-main.258"},{"issue":"Jan","key":"980_CR2","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3(Jan):993\u20131022","journal-title":"J Mach Learn Res"},{"key":"980_CR3","unstructured":"Brown T, Mann B, Ryder N, Subbiah M, Kaplan JD, Dhariwal P, Neelakantan A, Shyam P, Sastry G, Askell A, Agarwal S, Herbert-Voss A, Krueger G, Henighan T, Child R, Ramesh A, Ziegler D, Wu J, Winter C, Hesse C, Chen M, Sigler E, Litwin M, Gray S, Chess B, Clark J, Berner C, McCandlish S, Radford A, Sutskever I, Amodei D (2020) Language models are few-shot learners. In: Larochelle H, Ranzato M, Hadsell R, Balcan M, Lin H (eds) Proceedings of advances in neural information processing systems, vol\u00a033. Curran Associates Inc, New York, pp 1877\u20131901"},{"key":"980_CR4","doi-asserted-by":"crossref","unstructured":"Cao Z, Li S, Liu Y, Li W, Ji H (2015) A novel neural topic model and its supervised extension. In: Proceedings of the AAAI conference on artificial intelligence, vol 29(1)","DOI":"10.1609\/aaai.v29i1.9499"},{"key":"980_CR5","doi-asserted-by":"crossref","unstructured":"Castronovo S, Frey J, Poller P (2008) A generic layout-tool for summaries of meetings in a constraint-based approach. In: Machine learning for multimodal interaction: 5th international workshop, MLMI 2008, Utrecht, The Netherlands, September 8\u201310, 2008. Proceedings 5, Springer, pp 248\u2013259 (2008)","DOI":"10.1007\/978-3-540-85853-9_23"},{"issue":"9","key":"980_CR6","doi-asserted-by":"publisher","first-page":"4015","DOI":"10.1109\/TVCG.2022.3175364","volume":"29","author":"B Chang","year":"2023","unstructured":"Chang B, Sun G, Li T, Huang H, Liang R (2023) MUSE: visual analysis of musical semantic sequence. IEEE Trans Vis Comput Gr 29(9):4015\u20134030. https:\/\/doi.org\/10.1109\/TVCG.2022.3175364","journal-title":"IEEE Trans Vis Comput Gr"},{"issue":"4","key":"980_CR7","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1057\/palgrave.ivs.9500139","volume":"5","author":"AJ Cowell","year":"2006","unstructured":"Cowell AJ, Gregory ML, Bruce J, Haack J, Love D, Rose S, Andrew AH (2006) Understanding the dynamics of collaborative multi-party discourse. Inf Vis 5(4):250\u2013259","journal-title":"Inf Vis"},{"issue":"12","key":"980_CR8","doi-asserted-by":"publisher","first-page":"2412","DOI":"10.1109\/TVCG.2011.239","volume":"17","author":"W Cui","year":"2011","unstructured":"Cui W, Liu S, Tan L, Shi C, Song Y, Gao Z, Qu H, Tong X (2011) TextFlow: towards Better Understanding of Evolving Topics in Text. IEEE Trans Vis Comput Gr 17(12):2412\u20132421","journal-title":"IEEE Trans Vis Comput Gr"},{"issue":"12","key":"980_CR9","doi-asserted-by":"publisher","first-page":"2281","DOI":"10.1109\/TVCG.2014.2346433","volume":"20","author":"W Cui","year":"2014","unstructured":"Cui W, Liu S, Wu Z, Wei H (2014) How hierarchical topics evolve in large text corpora. IEEE Trans Vis Comput Gr 20(12):2281\u20132290","journal-title":"IEEE Trans Vis Comput Gr"},{"issue":"5","key":"980_CR10","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1007\/s12650-021-00757-z","volume":"24","author":"Y Cui","year":"2021","unstructured":"Cui Y, Li C, Chen C, Liang Y, Hu Y, Wang C (2021) VineMap: a metaphor visualization method for public opinion hierarchy from text data. J Vis 24(5):1097\u20131111","journal-title":"J Vis"},{"key":"980_CR11","unstructured":"Devlin J, Chang MW, Lee K, Toutanova K (2019) BERT: pre-training of deep bidirectional transformers for language understanding, , pp 4171\u20134186. arXiv:1810.04805"},{"issue":"1\u20132","key":"980_CR12","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1023\/A:1007612920971","volume":"42","author":"IS Dhillon","year":"2001","unstructured":"Dhillon IS, Modha DS (2001) Concept decompositions for large sparse text data using clustering. Mach Learn 42(1\u20132):143\u2013175","journal-title":"Mach Learn"},{"key":"980_CR13","unstructured":"Dieng AB, Wang C, Gao J, Paisley J (2016) TopicRNN: a recurrent neural network with long-range semantic dependency. arXiv e-prints arXiv:1611.01702"},{"key":"980_CR14","doi-asserted-by":"crossref","unstructured":"Ehlen P, Purver M, Niekrasz J, Lee K, Peters S (2008) Meeting adjourned: off-line learning interfaces for automatic meeting understanding. In: Proceedings of the 13th international conference on Intelligent user interfaces, pp 276\u2013284","DOI":"10.1145\/1378773.1378810"},{"key":"980_CR15","doi-asserted-by":"crossref","unstructured":"El-Assady M, Gold V, Acevedo C, Collins C, Keim D (2016) ConToVi: multi-party conversation exploration using topic-space views. In: Computer graphics forum, vol\u00a035. Wiley Online Library, pp 431\u2013440","DOI":"10.1111\/cgf.12919"},{"key":"980_CR16","doi-asserted-by":"crossref","unstructured":"El-Assady M, Sevastjanova R, Gipp B, Keim D, Collins C (2017) NEREx: named-entity relationship exploration in multi-party conversations. In: Computer graphics forum, vol\u00a036. Wiley Online Library, pp 213\u2013225 (2017)","DOI":"10.1111\/cgf.13181"},{"key":"980_CR17","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1007\/s11023-020-09548-1","volume":"30","author":"L Floridi","year":"2020","unstructured":"Floridi L, Chiriatti M (2020) GPT-3: its nature, scope, limits, and consequences. Mind Mach 30:681\u2013694","journal-title":"Mind Mach"},{"key":"980_CR18","doi-asserted-by":"crossref","unstructured":"Fujiwara T, Malakar P, Reda K, Vishwanath V, Papka ME, Ma KL (2017) A visual analytics system for optimizing communications in massively parallel applications. In: Proceedings of IEEE conference on visual analytics science and technology, IEEE, pp 59\u201370","DOI":"10.1109\/VAST.2017.8585646"},{"issue":"1","key":"980_CR19","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1109\/2945.981848","volume":"8","author":"S Havre","year":"2002","unstructured":"Havre S, Hetzler E, Whitney P, Nowell L (2002) ThemeRiver: visualizing thematic changes in large document collections. IEEE Trans Vis Comput Gr 8(1):9\u201320","journal-title":"IEEE Trans Vis Comput Gr"},{"key":"980_CR20","unstructured":"Hendy A, Abdelrehim M, Sharaf A, Raunak V, Gabr M, Matsushita H, Kim YJ, Afify M, Awadalla HH (2023) How good are GPT models at machine translation? a comprehensive evaluation. arXiv preprint arXiv:2302.09210"},{"issue":"2","key":"980_CR21","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.1109\/TVCG.2020.3030475","volume":"27","author":"B Jacobsen","year":"2020","unstructured":"Jacobsen B, Wallinger M, Kobourov S, N\u00f6llenburg M (2020) MetroSets: visualizing sets as metro maps. IEEE Trans Vis Comput Gr 27(2):1257\u20131267","journal-title":"IEEE Trans Vis Comput Gr"},{"key":"980_CR22","doi-asserted-by":"crossref","unstructured":"Jiao W, Wang W, Huang J, Wang X, Tu Z (2023) Is ChatGPT a good translator. A preliminary study. arXiv:2301.08745","DOI":"10.18653\/v1\/2023.newsum-1.1"},{"key":"980_CR23","unstructured":"Katharopoulos A, Vyas A, Pappas N, Fleuret F (2020) Transformers are RNNs: fast autoregressive transformers with linear attention. In: Proceedings of the 37th international conference on machine learning, vol 119. PMLR, pp 5156\u20135165"},{"issue":"1","key":"980_CR24","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1109\/TVCG.2015.2467451","volume":"22","author":"S Kieffer","year":"2016","unstructured":"Kieffer S, Dwyer T, Marriott K, Wybrow M (2016) HOLA: human-like orthogonal network layout. IEEE Trans Vis Comput Gr 22(1):349\u2013358","journal-title":"IEEE Trans Vis Comput Gr"},{"issue":"1","key":"980_CR25","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1109\/TVCG.2016.2598445","volume":"23","author":"M Kim","year":"2016","unstructured":"Kim M, Kang K, Park D, Choo J, Elmqvist N (2016) TopicLens: efficient multi-level visual topic exploration of large-scale document collections. IEEE Trans Vis Comput Graphics 23(1):151\u2013160","journal-title":"IEEE Trans Vis Comput Graphics"},{"issue":"1","key":"980_CR26","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1109\/TVCG.2021.3114800","volume":"28","author":"J Knittel","year":"2022","unstructured":"Knittel J, Koch S, Tang T, Chen W, Wu Y, Liu S, Ertl T (2022) Real-time visual analysis of high-volume social media posts. IEEE Trans Vis Comput Gr 28(1):879\u2013889","journal-title":"IEEE Trans Vis Comput Gr"},{"key":"980_CR27","doi-asserted-by":"crossref","unstructured":"Lai VD, Ngo NT, Veyseh APB, Man H, Dernoncourt F, Bui T, Nguyen TH (2023) ChatGPT beyond english: towards a comprehensive evaluation of large language models in multilingual learning. arXiv preprint arXiv:2304.05613","DOI":"10.18653\/v1\/2023.findings-emnlp.878"},{"key":"980_CR28","unstructured":"Le Q, Mikolov T (2014) Distributed representations of sentences and documents. In: Proceedings of the international conference on machine learning, vol\u00a032. PMLR, pp 1188\u20131196"},{"key":"980_CR29","unstructured":"Lee D, Seung HS (2000) Algorithms for non-negative matrix factorization. In: Proceedings of advances in neural information processing systems, vol 13"},{"key":"980_CR30","doi-asserted-by":"crossref","unstructured":"Lewis M, Liu Y, Goyal N, Ghazvininejad M, Mohamed A, Levy O, Stoyanov V, Zettlemoyer L (2020) BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In: Proceedings of the annual meeting of the association for computational linguistics, pp 7871\u20137880","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"980_CR31","unstructured":"Li Y (2023) Unlocking context constraints of LLMs: enhancing context efficiency of LLMs with self-information-based content filtering. arXiv preprint arXiv:2304.12102"},{"issue":"9","key":"980_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3560815","volume":"55","author":"P Liu","year":"2023","unstructured":"Liu P, Yuan W, Fu J, Jiang Z, Hayashi H, Neubig G (2023) Pre-train, prompt, and predict: a systematic survey of prompting methods in natural language processing. ACM Comput Surv 55(9):1\u201335","journal-title":"ACM Comput Surv"},{"issue":"12","key":"980_CR33","doi-asserted-by":"publisher","first-page":"2436","DOI":"10.1109\/TVCG.2013.196","volume":"19","author":"S Liu","year":"2013","unstructured":"Liu S, Wu Y, Wei E, Liu M, Liu Y (2013) StoryFlow: tracking the Evolution of Stories. IEEE Trans Vis Comput Gr 19(12):2436\u20132445","journal-title":"IEEE Trans Vis Comput Gr"},{"issue":"11","key":"980_CR34","doi-asserted-by":"publisher","first-page":"2451","DOI":"10.1109\/TVCG.2015.2509990","volume":"22","author":"S Liu","year":"2016","unstructured":"Liu S, Yin J, Wang X, Cui W, Cao K, Pei J (2016) Online visual analytics of text streams. IEEE Trans Vis Comput Gr 22(11):2451\u20132466","journal-title":"IEEE Trans Vis Comput Gr"},{"key":"980_CR35","doi-asserted-by":"crossref","unstructured":"Liu Y, Han T, Ma S, Zhang J, Yang Y, Tian J, He H, Li A, He M, Liu Z et\u00a0al (2023) Summary of ChatGPT\/GPT-4 research and perspective towards the future of large language models. arXiv preprint arXiv:2304.01852","DOI":"10.1016\/j.metrad.2023.100017"},{"key":"980_CR36","unstructured":"Liu Y, Ott M, Goyal N, Du J, Joshi M, Chen D, Levy O, Lewis M, Zettlemoyer L, Stoyanov V (2019) RoBERTa: a robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692"},{"issue":"2","key":"980_CR37","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1016\/j.ejor.2005.09.032","volume":"176","author":"EM Loiola","year":"2007","unstructured":"Loiola EM, De Abreu NMM, Boaventura-Netto PO, Hahn P, Querido T (2007) A survey for the quadratic assignment problem. Eur J Oper Res 176(2):657\u2013690","journal-title":"Eur J Oper Res"},{"key":"980_CR38","doi-asserted-by":"crossref","unstructured":"Madaan A, Tandon N, Clark P, Yang Y (2022) Memory-assisted prompt editing to improve GPT-3 after deployment. arXiv preprint arXiv:2201.06009","DOI":"10.18653\/v1\/2022.emnlp-main.183"},{"key":"980_CR39","unstructured":"Madaan A, Tandon N, Gupta P, Hallinan S, Gao L, Wiegreffe S, Alon U, Dziri N, Prabhumoye S, Yang Y et\u00a0al (2023) Self-Refine: Iterative refinement with self-feedback. arXiv preprint arXiv:2303.17651 (2023)"},{"key":"980_CR40","unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781"},{"key":"980_CR41","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.neucom.2021.03.091","volume":"452","author":"Z Niu","year":"2021","unstructured":"Niu Z, Zhong G, Yu H (2021) A review on the attention mechanism of deep learning. Neurocomputing 452:48\u201362","journal-title":"Neurocomputing"},{"key":"980_CR42","unstructured":"OpenAI: Gpt-4 technical report. arXiv e-prints arXiv:2303.08774 (2023)"},{"issue":"1","key":"980_CR43","doi-asserted-by":"publisher","first-page":"171701","DOI":"10.1007\/s11704-021-0609-0","volume":"17","author":"Y Peng","year":"2023","unstructured":"Peng Y, Fan X, Chen R, Yu Z, Liu S, Chen Y, Zhao Y, Zhou F (2023) Visual abstraction of dynamic network via improved multi-class blue noise sampling. Front Comput Sci 17(1):171701","journal-title":"Front Comput Sci"},{"key":"980_CR44","doi-asserted-by":"crossref","unstructured":"Pennington J, Socher R, Manning CD (2014) GloVe: global vectors for word representation. In: Proceedings of the conference on empirical methods in natural language processing, pp 1532\u20131543","DOI":"10.3115\/v1\/D14-1162"},{"key":"980_CR45","unstructured":"Radford A, Narasimhan K, Salimans T, Sutskever I et\u00a0al (2018) Improving language understanding by generative pre-training"},{"key":"980_CR46","doi-asserted-by":"crossref","unstructured":"Savelka J, Agarwal A, Bogart C, Song Y, Sakr M (2023) Can generative pre-trained transformers (GPT) pass assessments in higher education programming courses? arXiv preprint arXiv:2303.09325","DOI":"10.1145\/3587102.3588792"},{"issue":"6","key":"980_CR47","doi-asserted-by":"publisher","first-page":"1918","DOI":"10.1109\/TVCG.2018.2816203","volume":"24","author":"Y Shi","year":"2018","unstructured":"Shi Y, Bryan C, Bhamidipati S, Zhao Y, Zhang Y, Ma KL (2018) MeetingVis: visual narratives to assist in recalling meeting context and content. IEEE Trans Vis Comput Gr 24(6):1918\u20131929","journal-title":"IEEE Trans Vis Comput Gr"},{"key":"980_CR48","doi-asserted-by":"crossref","unstructured":"Shi Y, Wang Y, Qi Y, Chen J, Xu X, Ma KL (2017) IdeaWall: improving creative collaboration through combinatorial visual stimuli. In: Proceedings of the 2017 ACM conference on computer supported cooperative work and social computing, pp 594\u2013603","DOI":"10.1145\/2998181.2998208"},{"key":"980_CR49","doi-asserted-by":"crossref","unstructured":"Shneiderman B (1996) The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings of IEEE symposium on visual languages, IEEE, pp 336\u2013343","DOI":"10.1109\/VL.1996.545307"},{"issue":"12","key":"980_CR50","doi-asserted-by":"publisher","first-page":"1753","DOI":"10.1109\/TVCG.2014.2346919","volume":"20","author":"G Sun","year":"2014","unstructured":"Sun G, Wu Y, Liu S, Peng TQ, Zhu JJ, Liang R (2014) EvoRiver: visual analysis of topic coopetition on social media. IEEE Trans Vis Comput Gr 20(12):1753\u20131762","journal-title":"IEEE Trans Vis Comput Gr"},{"key":"980_CR51","doi-asserted-by":"crossref","unstructured":"Sun G, Zhu Z, Zhang G, Xu C, Wang Y, Zhu S, Chang B, Liang R (2023) Application of mathematical optimization in data visualization and visual analytics: a survey. IEEE Transactions on Big Data. Early Access","DOI":"10.1109\/TBDATA.2023.3262151"},{"key":"980_CR52","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2023.3262151","author":"G Sun","year":"2023","unstructured":"Sun G, Zhu Z, Zhang G, Xu C, Wang Y, Zhu S, Chang B, Liang R (2023) Application of mathematical optimization in data visualization and visual analytics: a survey. IEEE Trans Big Data. https:\/\/doi.org\/10.1109\/TBDATA.2023.3262151","journal-title":"IEEE Trans Big Data"},{"key":"980_CR53","doi-asserted-by":"crossref","unstructured":"Tafjord O, Mishra BD, Clark P (2022) Entailer: answering questions with faithful and truthful chains of reasoning. arXiv preprint arXiv:2210.12217","DOI":"10.18653\/v1\/2022.emnlp-main.134"},{"issue":"12","key":"980_CR54","doi-asserted-by":"publisher","first-page":"2679","DOI":"10.1109\/TVCG.2012.212","volume":"18","author":"Y Tanahashi","year":"2012","unstructured":"Tanahashi Y, Ma KL (2012) Design considerations for optimizing storyline visualizations. IEEE Trans Vis Comput Gr 18(12):2679\u20132688","journal-title":"IEEE Trans Vis Comput Gr"},{"issue":"1","key":"980_CR55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3633519","volume":"15","author":"Y Wang","year":"2024","unstructured":"Wang Y, Sun G, Zhu Z, Li T, Chen L, Liang R (2024) E2 storyline: visualizing the relationship with triplet entities and event discovery. ACM Trans Intell Syst Technol 15(1):1\u201326","journal-title":"ACM Trans Intell Syst Technol"},{"key":"980_CR56","unstructured":"Wei J, Tay Y, Bommasani R, Raffel C, Zoph B, Borgeaud S, Yogatama D, Bosma M, Zhou D, Metzler D et\u00a0al (2022) Emergent abilities of large language models. arXiv preprint arXiv:2206.07682"},{"issue":"10","key":"980_CR57","doi-asserted-by":"publisher","first-page":"2758","DOI":"10.1109\/TVCG.2017.2764459","volume":"24","author":"Y Wu","year":"2018","unstructured":"Wu Y, Chen Z, Sun G, Xie X, Cao N, Liu S, Cui W (2018) StreamExplorer: a multi-stage system for visually exploring events in social streams. IEEE Trans Visual Comput Gr 24(10):2758\u20132772","journal-title":"IEEE Trans Visual Comput Gr"},{"key":"980_CR58","unstructured":"Yang X, Li Y, Zhang X, Chen H, Cheng W (2023) Exploring the limits of ChatGPT for query or aspect-based text summarization. arXiv preprint arXiv:2302.08081"},{"issue":"1","key":"980_CR59","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1186\/s42492-023-00150-7","volume":"6","author":"F Zhou","year":"2023","unstructured":"Zhou F, Mi J, Zhang B, Shi J, Zhang R, Chen X, Zhao Y, Zhang J (2023) Reliable knowledge graph fact prediction via reinforcement learning. Vis Comput Ind Biomed Art 6(1):21","journal-title":"Vis Comput Ind Biomed Art"},{"key":"980_CR60","unstructured":"Zhu S, Shen Y, Zhu Z, Xia W, Chang B, Liang R, Sun G (2022) VAC$$^2$$: visual analysis of combined causality in event sequences. arXiv preprint arXiv:2206.05420"},{"issue":"3","key":"980_CR61","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/s12650-022-00896-x","volume":"26","author":"Z Zhu","year":"2023","unstructured":"Zhu Z, Shen Y, Zhu S, Zhang G, Liang R, Sun G (2023) Towards better pattern enhancement in temporal evolving set visualization. J Vis 26(3):611\u2013629","journal-title":"J Vis"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-024-00980-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12650-024-00980-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-024-00980-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T14:23:30Z","timestamp":1719843810000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12650-024-00980-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,5]]},"references-count":61,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["980"],"URL":"https:\/\/doi.org\/10.1007\/s12650-024-00980-4","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"value":"1343-8875","type":"print"},{"value":"1875-8975","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,5]]},"assertion":[{"value":"19 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 February 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 April 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}