{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T03:18:58Z","timestamp":1772594338911,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T00:00:00Z","timestamp":1679875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,3,27]]},"DOI":"10.1145\/3581641.3584057","type":"proceedings-article","created":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T16:16:52Z","timestamp":1679933812000},"page":"934-957","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Interactive User Interface for Dialogue Summarization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1684-0517","authenticated-orcid":false,"given":"Jeesu","family":"Jung","sequence":"first","affiliation":[{"name":"Computer Science and Engineering, Chungnam National University, Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3107-0880","authenticated-orcid":false,"given":"Hyein","family":"Seo","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Chungnam National University, Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3531-0618","authenticated-orcid":false,"given":"Sangkeun","family":"Jung","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Chungnam National University, Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4730-9825","authenticated-orcid":false,"given":"Riwoo","family":"Chung","sequence":"additional","affiliation":[{"name":"KT Corporation, Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3061-3089","authenticated-orcid":false,"given":"Hwijung","family":"Ryu","sequence":"additional","affiliation":[{"name":"KT Corporation, Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6692-962X","authenticated-orcid":false,"given":"Du-Seong","family":"Chang","sequence":"additional","affiliation":[{"name":"KT Corporation, Korea, Republic of"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,3,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"SUS-A quick and dirty usability scale. Usability evaluation in industry 189, 194","author":"John Brooke","year":"1996","unstructured":"John Brooke 1996. SUS-A quick and dirty usability scale. Usability evaluation in industry 189, 194 (1996), 4\u20137."},{"key":"e_1_3_2_1_2_1","volume-title":"Language models are few-shot learners. Advances in neural information processing systems 33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared\u00a0D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877\u20131901."},{"key":"e_1_3_2_1_3_1","volume-title":"Bert-dst: Scalable end-to-end dialogue state tracking with bidirectional encoder representations from transformer. arXiv preprint arXiv:1907.03040(2019).","author":"Chao Guan-Lin","year":"2019","unstructured":"Guan-Lin Chao and Ian Lane. 2019. Bert-dst: Scalable end-to-end dialogue state tracking with bidirectional encoder representations from transformer. arXiv preprint arXiv:1907.03040(2019)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2856767.2856795"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Jay DeYoung Iz Beltagy Madeleine van Zuylen Bailey Kuehl and Lucy\u00a0Lu Wang. 2021. Ms2: Multi-document summarization of medical studies. arXiv preprint arXiv:2104.06486(2021).","DOI":"10.18653\/v1\/2021.emnlp-main.594"},{"key":"e_1_3_2_1_7_1","unstructured":"Emily Dinan Stephen Roller Kurt Shuster Angela Fan Michael Auli and Jason Weston. 2018. Wizard of wikipedia: Knowledge-powered conversational agents. arXiv preprint arXiv:1811.01241(2018)."},{"key":"e_1_3_2_1_8_1","unstructured":"Angela Fan David Grangier and Michael Auli. 2017. Controllable abstractive summarization. arXiv preprint arXiv:1711.05217(2017)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Jessica Ficler and Yoav Goldberg. 2017. Controlling linguistic style aspects in neural language generation. arXiv preprint arXiv:1707.02633(2017).","DOI":"10.18653\/v1\/W17-4912"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-5409"},{"key":"e_1_3_2_1_11_1","volume-title":"Sustainable Advanced Computing","author":"Gupta Anushka","unstructured":"Anushka Gupta, Diksha Chugh, Rahul Katarya, 2022. Automated news summarization using transformers. In Sustainable Advanced Computing. Springer, 249\u2013259."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Prakhar Gupta Jeffrey\u00a0P Bigham Yulia Tsvetkov and Amy Pavel. 2020. Controlling dialogue generation with semantic exemplars. arXiv preprint arXiv:2008.09075(2020).","DOI":"10.18653\/v1\/2021.naacl-main.240"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300854"},{"key":"e_1_3_2_1_15_1","volume-title":"Monica Dinculescu, and Carrie\u00a0J Cai.","author":"Huang Zhi\u00a0Anna","year":"2020","unstructured":"Cheng-Zhi\u00a0Anna Huang, Hendrik\u00a0Vincent Koops, Ed Newton-Rex, Monica Dinculescu, and Carrie\u00a0J Cai. 2020. AI song contest: Human-AI co-creation in songwriting. arXiv preprint arXiv:2010.05388(2020)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","unstructured":"Yichong Huang Xiachong Feng Xiaocheng Feng and Bing Qin. 2021. The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey. https:\/\/doi.org\/10.48550\/ARXIV.2104.14839","DOI":"10.48550\/ARXIV.2104.14839"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939801"},{"key":"e_1_3_2_1_18_1","unstructured":"Pegah Karimi Mary\u00a0Lou Maher Nicholas Davis and Kazjon Grace. 2019. Deep learning in a computational model for conceptual shifts in a co-creative design system. arXiv preprint arXiv:1906.10188(2019)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300863"},{"key":"e_1_3_2_1_20_1","volume-title":"Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. arXiv preprint arXiv:1910.13461(2019).","author":"Lewis Mike","year":"2019","unstructured":"Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019. Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. arXiv preprint arXiv:1910.13461(2019)."},{"key":"e_1_3_2_1_21_1","volume-title":"ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out. Association for Computational Linguistics, Barcelona, Spain, 74\u201381. https:\/\/www.aclweb.org\/anthology\/W04-1013"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-019-01310-x"},{"key":"e_1_3_2_1_23_1","unstructured":"Wei Liu Huanqin Wu Wenjing Mu Zhen Li Tao Chen and Dan Nie. 2021. CO2Sum: Contrastive Learning for Factual-Consistent Abstractive Summarization. CoRR abs\/2112.01147(2021). arXiv:2112.01147https:\/\/arxiv.org\/abs\/2112.01147"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376739"},{"key":"e_1_3_2_1_25_1","volume-title":"Henghui Zhu, Dejiao Zhang, Kathleen McKeown, and Bing Xiang.","author":"Nan Feng","year":"2021","unstructured":"Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira\u00a0dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, and Bing Xiang. 2021a. Entity-level factual consistency of abstractive text summarization. arXiv preprint arXiv:2102.09130(2021)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174223"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.nlp4convai-1.7"},{"key":"e_1_3_2_1_29_1","volume-title":"Proceedings of the 40th annual meeting on association for computational linguistics. Association for Computational Linguistics, 311\u2013318","author":"Papineni Kishore","year":"2002","unstructured":"Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. BLEU: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting on association for computational linguistics. Association for Computational Linguistics, 311\u2013318."},{"key":"e_1_3_2_1_30_1","unstructured":"Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li and Peter\u00a0J Liu. 2019. Exploring the limits of transfer learning with a unified text-to-text transformer. arXiv preprint arXiv:1910.10683(2019)."},{"key":"e_1_3_2_1_31_1","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer.J","volume":"21","author":"Raffel Colin","year":"2020","unstructured":"Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter\u00a0J Liu, 2020. Exploring the limits of transfer learning with a unified text-to-text transformer.J. Mach. Learn. Res. 21, 140 (2020), 1\u201367.","journal-title":"Mach. Learn. Res."},{"key":"e_1_3_2_1_32_1","unstructured":"Itsumi Saito Kyosuke Nishida Kosuke Nishida Atsushi Otsuka Hisako Asano Junji Tomita Hiroyuki Shindo and Yuji Matsumoto. 2020. Length-controllable abstractive summarization by guiding with summary prototype. arXiv preprint arXiv:2001.07331(2020)."},{"key":"e_1_3_2_1_33_1","volume-title":"Megatron-lm: Training multi-billion parameter language models using model parallelism. arXiv preprint arXiv:1909.08053(2019).","author":"Shoeybi Mohammad","year":"2019","unstructured":"Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, and Bryan Catanzaro. 2019. Megatron-lm: Training multi-billion parameter language models using model parallelism. arXiv preprint arXiv:1909.08053(2019)."},{"key":"e_1_3_2_1_34_1","unstructured":"Kurt Shuster Jing Xu Mojtaba Komeili Da Ju Eric\u00a0Michael Smith Stephen Roller Megan Ung Moya Chen Kushal Arora Joshua Lane 2022. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. arXiv preprint arXiv:2208.03188(2022)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511130"},{"key":"e_1_3_2_1_36_1","volume-title":"Plan-then-generate: Controlled data-to-text generation via planning. arXiv preprint arXiv:2108.13740(2021).","author":"Su Yixuan","year":"2021","unstructured":"Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, and Nigel Collier. 2021a. Plan-then-generate: Controlled data-to-text generation via planning. arXiv preprint arXiv:2108.13740(2021)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.76"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445219"},{"key":"e_1_3_2_1_39_1","volume-title":"Proceedings of the 4th Workshop on Asian Translation (WAT2017)","author":"Takeno Shunsuke","year":"2017","unstructured":"Shunsuke Takeno, Masaaki Nagata, and Kazuhide Yamamoto. 2017. Controlling target features in neural machine translation via prefix constraints. In Proceedings of the 4th Workshop on Asian Translation (WAT2017). 55\u201363."},{"key":"e_1_3_2_1_40_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Thomas Wolf Lysandre Debut Victor Sanh Julien Chaumond Clement Delangue Anthony Moi Pierric Cistac Tim Rault R\u00e9mi Louf Morgan Funtowicz 2019. HuggingFace\u2019s Transformers: State-of-the-art natural language processing. arXiv preprint arXiv:1910.03771(2019).","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"e_1_3_2_1_43_1","unstructured":"Yonghui Wu Mike Schuster Zhifeng Chen Quoc\u00a0V Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey 2016. Google\u2019s neural machine translation system: Bridging the gap between human and machine translation. arXiv preprint arXiv:1609.08144(2016)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2022.104040"},{"key":"e_1_3_2_1_45_1","volume-title":"BERTScore: Evaluating Text Generation with BERT. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=SkeHuCVFDr","author":"Tianyi","year":"2020","unstructured":"Tianyi Zhang*, Varsha Kishore*, Felix Wu*, Kilian\u00a0Q. Weinberger, and Yoav Artzi. 2020. BERTScore: Evaluating Text Generation with BERT. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=SkeHuCVFDr"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21432"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"}],"event":{"name":"IUI '23: 28th International Conference on Intelligent User Interfaces","location":"Sydney NSW Australia","acronym":"IUI '23","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 28th International Conference on Intelligent User Interfaces"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581641.3584057","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581641.3584057","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:20Z","timestamp":1750178180000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581641.3584057"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,27]]},"references-count":47,"alternative-id":["10.1145\/3581641.3584057","10.1145\/3581641"],"URL":"https:\/\/doi.org\/10.1145\/3581641.3584057","relation":{},"subject":[],"published":{"date-parts":[[2023,3,27]]},"assertion":[{"value":"2023-03-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}