{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:30Z","timestamp":1750309590193,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"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":[[2024,10,17]]},"DOI":"10.1145\/3723178.3723311","type":"proceedings-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T07:20:33Z","timestamp":1749194433000},"page":"1001-1006","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Text Summarization Driven By Question Answering Technique"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3009-2228","authenticated-orcid":false,"given":"Md. Sakib Bin","family":"Alam","sequence":"first","affiliation":[{"name":"University of Information Technology and Sciences (UITS), Dhaka, Bangladesh"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4554-1639","authenticated-orcid":false,"given":"Aiman","family":"Lameesa","sequence":"additional","affiliation":[{"name":"American International University-Bangladesh (AIUB), Dhaka, Bangladesh"}]}],"member":"320","published-online":{"date-parts":[[2025,6,6]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Chris Alberti Daniel Andor Emily Pitler Jacob Devlin and Michael Collins. 2019. Synthetic QA corpora generation with roundtrip consistency. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1906.05416 (2019).","DOI":"10.18653\/v1\/P19-1620"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"crossref","unstructured":"Kristjan Arumae and Fei Liu. 2019. Guiding extractive summarization with question-answering rewards. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1904.02321 (2019).","DOI":"10.18653\/v1\/N19-1264"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"James Clarke and Mirella Lapata. 2010. Discourse constraints for document compression. Computational Linguistics 36 3 (2010) 411\u2013441.","DOI":"10.1162\/coli_a_00004"},{"key":"e_1_3_3_1_5_2","unstructured":"Matt Gardner Jonathan Berant Hannaneh Hajishirzi Alon Talmor and Sewon Min. 2019. Question Answering is a Format; When is it Useful? arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1909.11291 (2019)."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-8665"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.47"},{"key":"e_1_3_3_1_8_2","unstructured":"Karl\u00a0Moritz Hermann Tomas Kocisky Edward Grefenstette Lasse Espeholt Will Kay Mustafa Suleyman and Phil Blunsom. 2015. Teaching machines to read and comprehend. Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Wojciech Kry\u015bci\u0144ski Nitish\u00a0Shirish Keskar Bryan McCann Caiming Xiong and Richard Socher. 2019. Neural text summarization: A critical evaluation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1908.08960 (2019).","DOI":"10.18653\/v1\/D19-1051"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","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:https:\/\/arXiv.org\/abs\/1910.13461 (2019).","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28714"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Yang Liu and Mirella Lapata. 2019. Text summarization with pretrained encoders. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1908.08345 (2019).","DOI":"10.18653\/v1\/D19-1387"},{"key":"e_1_3_3_1_13_2","unstructured":"Feng Nan Cicero Nogueira\u00a0dos Santos Henghui Zhu Patrick Ng Kathleen McKeown Ramesh Nallapati Dejiao Zhang Zhiguo Wang Andrew\u00a0O Arnold and Bing Xiang. 2021. Improving factual consistency of abstractive summarization via question answering. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2105.04623 (2021)."},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Valentina Pyatkin Ayal Klein Reut Tsarfaty and Ido Dagan. 2020. QADiscourse\u2013Discourse Relations as QA Pairs: Representation Crowdsourcing and Baselines. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2010.02815 (2020).","DOI":"10.18653\/v1\/2020.emnlp-main.224"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Valentina Pyatkin Paul Roit Julian Michael Reut Tsarfaty Yoav Goldberg and Ido Dagan. 2021. Asking it all: Generating contextualized questions for any semantic role. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2109.04832 (2021).","DOI":"10.18653\/v1\/2021.emnlp-main.108"},{"key":"e_1_3_3_1_16_2","unstructured":"Alec Radford Jeffrey Wu Rewon Child David Luan Dario Amodei Ilya Sutskever et\u00a0al. 2019. Language models are unsupervised multitask learners. OpenAI blog 1 8 (2019) 9."},{"key":"e_1_3_3_1_17_2","unstructured":"Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li and Peter\u00a0J Liu. 2020. Exploring the limits of transfer learning with a unified text-to-text transformer. The Journal of Machine Learning Research 21 1 (2020) 5485\u20135551."},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Pranav Rajpurkar Jian Zhang Konstantin Lopyrev and Percy Liang. 2016. Squad: 100 000+ questions for machine comprehension of text. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1606.05250 (2016).","DOI":"10.18653\/v1\/D16-1264"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1163\/9789004378322_007"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","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 preprint arXiv:https:\/\/arXiv.org\/abs\/2103.12693 (2021).","DOI":"10.18653\/v1\/2021.emnlp-main.529"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.439"},{"key":"e_1_3_3_1_22_2","unstructured":"Kaitao Song Xu Tan Tao Qin Jianfeng Lu and Tie-Yan Liu. 2020. Mpnet: Masked and permuted pre-training for language understanding. Advances in Neural Information Processing Systems 33 (2020) 16857\u201316867."},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"Dan Su Yan Xu Tiezheng Yu Farhad\u00a0Bin Siddique Elham\u00a0J Barezi and Pascale Fung. 2020. CAiRE-COVID: A question answering and query-focused multi-document summarization system for COVID-19 scholarly information management. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2005.03975 (2020).","DOI":"10.18653\/v1\/2020.nlpcovid19-2.14"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Alex Wang Kyunghyun Cho and Mike Lewis. 2020. Asking and answering questions to evaluate the factual consistency of summaries. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2004.04228 (2020).","DOI":"10.18653\/v1\/2020.acl-main.450"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29889"},{"key":"e_1_3_3_1_26_2","first-page":"1118","volume-title":"Proceedings of the Twelfth Language Resources and Evaluation Conference","author":"Westera Matthijs","year":"2020","unstructured":"Matthijs Westera, Laia Mayol, and Hannah Rohde. 2020. Ted-q: Ted talks and the questions they evoke. In Proceedings of the Twelfth Language Resources and Evaluation Conference. 1118\u20131127."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.296"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Aizan Zafar Sovan\u00a0Kumar Sahoo Harsh Bhardawaj Amitava Das and Asif Ekbal. 2024. KI-MAG: A knowledge-infused abstractive question answering system in medical domain. Neurocomputing 571 (2024) 127141.","DOI":"10.1016\/j.neucom.2023.127141"}],"event":{"name":"ICCA 2024: 3rd International Conference on Computing Advancements","acronym":"ICCA 2024","location":"Dhaka Bangladesh"},"container-title":["Proceedings of the 3rd International Conference on Computing Advancements"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723311","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3723178.3723311","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:48Z","timestamp":1750298208000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723311"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,17]]},"references-count":27,"alternative-id":["10.1145\/3723178.3723311","10.1145\/3723178"],"URL":"https:\/\/doi.org\/10.1145\/3723178.3723311","relation":{},"subject":[],"published":{"date-parts":[[2024,10,17]]},"assertion":[{"value":"2025-06-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}