{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T20:35:33Z","timestamp":1776285333868,"version":"3.50.1"},"reference-count":178,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T00:00:00Z","timestamp":1676505600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T00:00:00Z","timestamp":1676505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11042-023-14613-9","type":"journal-article","created":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T11:03:11Z","timestamp":1676545391000},"page":"29135-29197","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["State-of-the-art approach to extractive text summarization: a comprehensive review"],"prefix":"10.1007","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0837-1431","authenticated-orcid":false,"given":"Avaneesh Kumar","family":"Yadav","sequence":"first","affiliation":[]},{"family":"Ranvijay","sequence":"additional","affiliation":[]},{"given":"Rama Shankar","family":"Yadav","sequence":"additional","affiliation":[]},{"given":"Ashish Kumar","family":"Maurya","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,16]]},"reference":[{"issue":"7","key":"14613_CR1","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.1007\/s00500-015-1881-4","volume":"21","author":"A Abdi","year":"2017","unstructured":"Abdi A, Idris N, Alguliyev RM, Aliguliyev RM (2017) Query-based multi-documents summarization using linguistic knowledge and content word expansion. Soft Comput 21(7):1785\u20131801. https:\/\/doi.org\/10.1007\/s00500-015-1881-4","journal-title":"Soft Comput"},{"key":"14613_CR2","doi-asserted-by":"publisher","first-page":"106658","DOI":"10.1016\/j.knosys.2020.106658","volume":"213","author":"A Abdi","year":"2021","unstructured":"Abdi A, Hasan S, Shamsuddin SM, Idris N, Piran J (2021) A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion. Knowl-Based Syst 213:106658. https:\/\/doi.org\/10.1016\/j.knosys.2020.106658","journal-title":"Knowl-Based Syst"},{"key":"14613_CR3","unstructured":"Abhiman, BD, Hiraman, PY (2021) A text summarization using multi linguistic features and fuzzy logic technique of sentences"},{"key":"14613_CR4","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.eswa.2019.01.037","volume":"123","author":"N Alami","year":"2019","unstructured":"Alami N, Meknassi M, En-nahnahi N (2019) Enhancing unsupervised neural networks-based text summarization with word embedding and ensemble learning. Expert Syst Appl 123:195\u2013211. https:\/\/doi.org\/10.1016\/j.eswa.2019.01.037","journal-title":"Expert Syst Appl"},{"issue":"13","key":"14613_CR5","doi-asserted-by":"publisher","first-page":"19567","DOI":"10.1007\/s11042-021-10613-9","volume":"80","author":"N Alami","year":"2021","unstructured":"Alami N, Mallahi ME, Amakdouf H, Qjidaa H (2021) Hybrid method for text summarization based on statistical and semantic treatment. Multimed Tools Appl 80(13):19567\u201319600. https:\/\/doi.org\/10.1007\/s11042-021-10613-9","journal-title":"Multimed Tools Appl"},{"key":"14613_CR6","doi-asserted-by":"publisher","first-page":"114652","DOI":"10.1016\/j.eswa.2021.114652","volume":"172","author":"N Alami","year":"2021","unstructured":"Alami N, Meknassi M, En-nahnahi N, El Adlouni Y, Ammor O (2021) Unsupervised neural networks for automatic Arabic text summarization using document clustering and topic modeling. Expert Syst Appl 172:114652. https:\/\/doi.org\/10.1016\/j.eswa.2021.114652","journal-title":"Expert Syst Appl"},{"issue":"1","key":"14613_CR7","doi-asserted-by":"publisher","first-page":"89","DOI":"10.12928\/TELKOMNIKA.v19i1.15766","volume":"19","author":"ZH Ali","year":"2021","unstructured":"Ali ZH, Hussein AK, Abass HK, Fadel E (2021) Extractive multi document summarization using harmony search algorithm. Telkomnika 19(1):89\u201395. https:\/\/doi.org\/10.12928\/TELKOMNIKA.v19i1.15766","journal-title":"Telkomnika"},{"key":"14613_CR8","doi-asserted-by":"publisher","first-page":"24205","DOI":"10.1109\/ACCESS.2018.2829199","volume":"6","author":"K Al-Sabahi","year":"2018","unstructured":"Al-Sabahi K, Zuping Z, Nadher M (2018) A hierarchical structured self-attentive model for extractive document summarization (HSSAS). IEEE Access 6:24205\u201324212. https:\/\/doi.org\/10.1109\/ACCESS.2018.2829199","journal-title":"IEEE Access"},{"key":"14613_CR9","unstructured":"Al-Taani, AT, Al-Omour, MM (2014) An extractive graph-based Arabic text summarization approach. In The International Arab Conference on Information Technology"},{"issue":"1","key":"14613_CR10","first-page":"281","volume":"2","author":"S Amarappa","year":"2013","unstructured":"Amarappa S, Sathyanarayana SV (2013) Named entity recognition and classification in kannada language. Int J Electron Comput Sci Eng 2(1):281\u2013289","journal-title":"Int J Electron Comput Sci Eng"},{"key":"14613_CR11","doi-asserted-by":"publisher","unstructured":"Arumae K, Liu F (2019) Guiding extractive summarization with question-answering rewards. arXiv preprint arXiv:1904.02321. https:\/\/doi.org\/10.48550\/arXiv.1904.02321","DOI":"10.48550\/arXiv.1904.02321"},{"issue":"1","key":"14613_CR12","first-page":"226","volume":"6","author":"AS Asa","year":"2017","unstructured":"Asa AS, Akter S, Uddin MP, Hossain MD, Roy SK, Afjal MI (2017) A comprehensive survey on extractive text summarization techniques. Am J Eng Res 6(1):226\u2013239","journal-title":"Am J Eng Res"},{"key":"14613_CR13","doi-asserted-by":"publisher","first-page":"101116","DOI":"10.1016\/j.csl.2020.101116","volume":"65","author":"MN Awan","year":"2021","unstructured":"Awan MN, Beg MO (2021) Top-rank: a topicalpostionrank for extraction and classification of keyphrases in text. Comput Speech Lang 65:101116. https:\/\/doi.org\/10.1016\/j.csl.2020.101116","journal-title":"Comput Speech Lang"},{"key":"14613_CR14","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.jbi.2018.06.005","volume":"84","author":"MN Azadani","year":"2018","unstructured":"Azadani MN, Ghadiri N, Davoodijam E (2018) Graph-based biomedical text summarization: an itemset mining and sentence clustering approach. J Biomed Inform 84:42\u201358. https:\/\/doi.org\/10.1016\/j.jbi.2018.06.005","journal-title":"J Biomed Inform"},{"key":"14613_CR15","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.ins.2013.06.046","volume":"249","author":"E Baralis","year":"2013","unstructured":"Baralis E, Cagliero L, Mahoto N, Fiori A (2013) GRAPHSUM: discovering correlations among multiple terms for graph-based summarization. Inf Sci 249:96\u2013109. https:\/\/doi.org\/10.1016\/j.ins.2013.06.046","journal-title":"Inf Sci"},{"key":"14613_CR16","doi-asserted-by":"publisher","unstructured":"Barrera A, Verma R (2011) Automated extractive single-document summarization: beating the baselines with a new approach. In proceedings of the 2011 ACM symposium on applied computing (pp. 268-269). https:\/\/doi.org\/10.1145\/1982185.1982247","DOI":"10.1145\/1982185.1982247"},{"key":"14613_CR17","doi-asserted-by":"publisher","unstructured":"Baruah N, Sarma SK, Borkotokey S (2019) A novel approach of text summarization using Assamese WordNet. In 2019 4th international conference on information systems and computer networks (ISCON) (pp. 305-310). IEEE. https:\/\/doi.org\/10.1109\/ISCON47742.2019.9036285","DOI":"10.1109\/ISCON47742.2019.9036285"},{"key":"14613_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67056-0_21","volume-title":"TALAA-ATSF: a global operation-based Arabic text summarization framework. In intelligent natural language processing: trends and applications (pp. 435\u2013459)","author":"R Belkebir","year":"2018","unstructured":"Belkebir R, Guessoum A (2018) TALAA-ATSF: a global operation-based Arabic text summarization framework. In intelligent natural language processing: trends and applications (pp. 435\u2013459). Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-319-67056-0_21"},{"key":"14613_CR19","doi-asserted-by":"publisher","unstructured":"Bommasani R, Cardie C (2020) Intrinsic evaluation of summarization datasets. In proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) (pp. 8075-8096). https:\/\/doi.org\/10.18653\/v1\/2020.emnlp-main.649","DOI":"10.18653\/v1\/2020.emnlp-main.649"},{"issue":"9","key":"14613_CR20","doi-asserted-by":"publisher","first-page":"1616","DOI":"10.1109\/TKDE.2018.2807452","volume":"30","author":"H Cai","year":"2018","unstructured":"Cai H, Zheng VW, Chang KCC (2018) A comprehensive survey of graph embedding: problems, techniques, and applications. IEEE Trans Knowl Data Eng 30(9):1616\u20131637. https:\/\/doi.org\/10.1109\/TKDE.2018.2807452","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"14613_CR21","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.future.2020.03.046","volume":"109","author":"M Cao","year":"2020","unstructured":"Cao M, Zhuge H (2020) Grouping sentences as better language unit for extractive text summarization. Futur Gener Comput Syst 109:331\u2013359. https:\/\/doi.org\/10.1016\/j.future.2020.03.046","journal-title":"Futur Gener Comput Syst"},{"issue":"5","key":"14613_CR22","doi-asserted-by":"publisher","first-page":"530","DOI":"10.7763\/IJFCC.2013.V2.220","volume":"2","author":"JM Castillo","year":"2013","unstructured":"Castillo JM, Mateo MAL, Paras AD, Sagum RA, Santos VDF (2013) Named entity recognition using support vector machine for Filipino text documents. Int J Future Comput Commun 2(5):530\u2013532. https:\/\/doi.org\/10.7763\/IJFCC.2013.V2.220","journal-title":"Int J Future Comput Commun"},{"issue":"8","key":"14613_CR23","doi-asserted-by":"publisher","first-page":"1322","DOI":"10.1109\/TASLP.2015.2432578","volume":"23","author":"KY Chen","year":"2015","unstructured":"Chen KY, Liu SH, Chen B, Wang HM, Jan EE, Hsu WL, Chen HH (2015) Extractive broadcast news summarization leveraging recurrent neural network language modeling techniques. IEEE\/ACM Transact Audio, Speech, Lang Process 23(8):1322\u20131334. https:\/\/doi.org\/10.1109\/TASLP.2015.2432578","journal-title":"IEEE\/ACM Transact Audio, Speech, Lang Process"},{"key":"14613_CR24","doi-asserted-by":"publisher","unstructured":"Chieu HL, Lee YK (2004) Query based event extraction along a timeline. In proceedings of the 27th annual international ACM SIGIR conference on research and development in information retrieval (pp. 425-432). https:\/\/doi.org\/10.1145\/1008992.1009065","DOI":"10.1145\/1008992.1009065"},{"issue":"4","key":"14613_CR25","doi-asserted-by":"publisher","first-page":"3925","DOI":"10.1007\/s13369-020-05258-z","volume":"46","author":"A Chouigui","year":"2021","unstructured":"Chouigui A, Ben Khiroun O, Elayeb B (2021) An arabic multi-source news corpus: experimenting on single-document extractive summarization. Arab J Sci Eng 46(4):3925\u20133938. https:\/\/doi.org\/10.1007\/s13369-020-05258-z","journal-title":"Arab J Sci Eng"},{"key":"14613_CR26","doi-asserted-by":"publisher","unstructured":"Chowdhury SR, Sarkar K, Dam S (2017) An approach to generic Bengali text summarization using latent semantic analysis. In 2017 international conference on information technology (ICIT) (pp. 11-16). IEEE. https:\/\/doi.org\/10.1109\/ICIT.2017.12","DOI":"10.1109\/ICIT.2017.12"},{"issue":"12","key":"14613_CR27","doi-asserted-by":"publisher","first-page":"17457","DOI":"10.1007\/s11042-022-12442-w","volume":"81","author":"K Cizmeciler","year":"2022","unstructured":"Cizmeciler K, Erdem E, Erdem A (2022) Leveraging semantic saliency maps for query-specific video summarization. Multimed Tools Appl 81(12):17457\u201317482. https:\/\/doi.org\/10.1007\/s11042-022-12442-w","journal-title":"Multimed Tools Appl"},{"key":"14613_CR28","doi-asserted-by":"publisher","unstructured":"Daiya D, Singh A, Jadon M (2018) Using statistical and semantic models for multi-document summarization. arXiv preprint arXiv:1805.04579. https:\/\/doi.org\/10.48550\/arXiv.1805.04579","DOI":"10.48550\/arXiv.1805.04579"},{"key":"14613_CR29","unstructured":"Dang HT (2005) Overview of DUC 2005. In proceedings of the document understanding conference (Vol. 2005, pp. 1-12)"},{"key":"14613_CR30","doi-asserted-by":"crossref","unstructured":"Dang HT (2006) DUC 2005: evaluation of question-focused summarization systems. In proceedings of the workshop on task-focused summarization and question answering (pp. 48-55). https:\/\/aclanthology.org\/W06-0707.pdf","DOI":"10.3115\/1654679.1654689"},{"key":"14613_CR31","unstructured":"Dernoncourt F, Ghassemi M, Chang W (2018) A repository of corpora for summarization. In proceedings of the eleventh international conference on language resources and evaluation (LREC 2018). https:\/\/aclanthology.org\/L18-1509.pdf"},{"issue":"6","key":"14613_CR32","doi-asserted-by":"publisher","first-page":"5","DOI":"10.9790\/0661-0560510","volume":"5","author":"RS Dixit","year":"2012","unstructured":"Dixit RS, Apte SS (2012) Improvement of text summarization using fuzzy logic-based method. IOSR J Comput Eng (IOSRJCE) 5(6):5\u201310 http:\/\/www.iosrjournals.org\/","journal-title":"IOSR J Comput Eng (IOSRJCE)"},{"issue":"6","key":"14613_CR33","doi-asserted-by":"publisher","first-page":"1588","DOI":"10.1016\/j.ipm.2007.01.003","volume":"43","author":"DM Dunlavy","year":"2007","unstructured":"Dunlavy DM, O\u2019Leary DP, Conroy JM, Schlesinger JD (2007) QCS: a system for querying, clustering and summarizing documents. Inf Process Manag 43(6):1588\u20131605. https:\/\/doi.org\/10.1016\/j.ipm.2007.01.003","journal-title":"Inf Process Manag"},{"key":"14613_CR34","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-1498-8_16","volume-title":"A graph-based approach on extractive summarization. In emerging Technologies in Data Mining and Information Security (pp. 179\u2013187)","author":"M Dutta","year":"2019","unstructured":"Dutta M, Das AK, Mallick C, Sarkar A, Das AK (2019) A graph-based approach on extractive summarization. In emerging Technologies in Data Mining and Information Security (pp. 179\u2013187). Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-13-1498-8_16"},{"issue":"1","key":"14613_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42979-021-00895-z","volume":"3","author":"V Dwivedi","year":"2022","unstructured":"Dwivedi V, Ghosh S (2022) Classification of Hindi compound nouns using machine learning. SN Comput Sci 3(1):1\u20135. https:\/\/doi.org\/10.1007\/s42979-021-00895-z","journal-title":"SN Comput Sci"},{"issue":"5","key":"14613_CR36","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1007\/s12559-020-09748-y","volume":"12","author":"B Elayeb","year":"2020","unstructured":"Elayeb B, Chouigui A, Bounhas M, Khiroun OB (2020) Automatic arabic text summarization using analogical proportions. Cogn Comput 12(5):1043\u20131069. https:\/\/doi.org\/10.1007\/s12559-020-09748-y","journal-title":"Cogn Comput"},{"issue":"2","key":"14613_CR37","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.eij.2019.11.001","volume":"21","author":"R Elbarougy","year":"2020","unstructured":"Elbarougy R, Behery G, El Khatib A (2020) Extractive Arabic text summarization using modified PageRank algorithm. Egypt Inf J 21(2):73\u201381. https:\/\/doi.org\/10.1016\/j.eij.2019.11.001","journal-title":"Egypt Inf J"},{"key":"14613_CR38","doi-asserted-by":"publisher","unstructured":"El-Haj MO, Hammo BH (2008) Evaluation of query-based Arabic text summarization system. In 2008 international conference on natural language processing and knowledge engineering (pp. 1-7). IEEE. https:\/\/doi.org\/10.1109\/NLPKE.2008.4906790","DOI":"10.1109\/NLPKE.2008.4906790"},{"key":"14613_CR39","doi-asserted-by":"publisher","first-page":"113679","DOI":"10.1016\/j.eswa.2020.113679","volume":"165","author":"WS El-Kassas","year":"2021","unstructured":"El-Kassas WS, Salama CR, Rafea AA, Mohamed HK (2021) Automatic text summarization: a comprehensive survey. Expert Syst Appl 165:113679. https:\/\/doi.org\/10.1016\/j.eswa.2020.113679","journal-title":"Expert Syst Appl"},{"issue":"23","key":"14613_CR40","first-page":"7739","volume":"96","author":"A Elrefaiy","year":"2018","unstructured":"Elrefaiy A, Abas AR, Elhenawy I (2018) Review of recent techniques for extractive text summarization. J Theor Appl Inf Technol 96(23):7739\u20137759","journal-title":"J Theor Appl Inf Technol"},{"key":"14613_CR41","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1613\/jair.1523","volume":"22","author":"G Erkan","year":"2004","unstructured":"Erkan G, Radev DR (2004) Lexrank: graph-based lexical centrality as salience in text summarization. J Artif Intell Res 22:457\u2013479. https:\/\/doi.org\/10.1613\/jair.1523","journal-title":"J Artif Intell Res"},{"key":"14613_CR42","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.eswa.2016.12.021","volume":"72","author":"C Fang","year":"2017","unstructured":"Fang C, Mu D, Deng Z, Wu Z (2017) Word-sentence co-ranking for automatic extractive text summarization. Expert Syst Appl 72:189\u2013195. https:\/\/doi.org\/10.1016\/j.eswa.2016.12.021","journal-title":"Expert Syst Appl"},{"key":"14613_CR43","doi-asserted-by":"publisher","unstructured":"Fei L, Hu Y, Xiao F, Chen L, Deng Y (2016) A modified topsis method based on numbers and its applications in human resources selection Mathematical Problems in Engineering, 2016. https:\/\/doi.org\/10.1155\/2016\/6145196","DOI":"10.1155\/2016\/6145196"},{"key":"14613_CR44","doi-asserted-by":"publisher","unstructured":"Ferreira R, de Souza Cabral L, Lins RD, e Silva GP, Freitas F, Cavalcanti GD, Favaro L (2013) Assessing sentence scoring techniques for extractive text summarization. Expert Syst Appl 40(14):5755\u20135764. https:\/\/doi.org\/10.1016\/j.eswa.2013.04.023","DOI":"10.1016\/j.eswa.2013.04.023"},{"issue":"13","key":"14613_CR45","doi-asserted-by":"publisher","first-page":"5780","DOI":"10.1016\/j.eswa.2014.03.023","volume":"41","author":"R Ferreira","year":"2014","unstructured":"Ferreira R, de Souza Cabral L, Freitas F, Lins RD, de Fran\u00e7a Silva G, Simske SJ, Favaro L (2014) A multi-document summarization system based on statistics and linguistic treatment. Expert Syst Appl 41(13):5780\u20135787. https:\/\/doi.org\/10.1016\/j.eswa.2014.03.023","journal-title":"Expert Syst Appl"},{"key":"14613_CR46","doi-asserted-by":"publisher","unstructured":"Fitrianah D, Jauhari RN (2022) Extractive text summarization for scientific journal articles using long short-term memory and gated recurrent units. Bullet Electr Eng Inf 11(1). https:\/\/doi.org\/10.11591\/eei.v11i1.3278","DOI":"10.11591\/eei.v11i1.3278"},{"key":"14613_CR47","doi-asserted-by":"publisher","unstructured":"Gamal M, El-Sawy A, AbuEl-Atta AH (2021) Hybrid Algorithm Based on Chicken Swarm Optimization and Genetic Algorithm for Text Summarization. Int J Intell Eng Syst, Vol.14, No.3, https:\/\/doi.org\/10.22266\/ijies2021.0630.27","DOI":"10.22266\/ijies2021.0630.27"},{"issue":"1","key":"14613_CR48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10462-016-9475-9","volume":"47","author":"M Gambhir","year":"2017","unstructured":"Gambhir M, Gupta V (2017) Recent automatic text summarization techniques: a survey. Artif Intell Rev 47(1):1\u201366. https:\/\/doi.org\/10.1007\/s10462-016-9475-9","journal-title":"Artif Intell Rev"},{"key":"14613_CR49","doi-asserted-by":"publisher","unstructured":"Gambhir M, Gupta V (2022) Deep learning-based extractive text summarization with word-level attention mechanism. Multimed Tools Appl, 1-24. https:\/\/doi.org\/10.1007\/s11042-022-12729-y","DOI":"10.1007\/s11042-022-12729-y"},{"key":"14613_CR50","doi-asserted-by":"publisher","unstructured":"Gholamrezazadeh S, Salehi MA, Gholamzadeh B (2009) A comprehensive survey on text summarization systems. In:\u00a02009 2nd international conference on computer science and its applications. IEEE, pp 1\u20136. https:\/\/doi.org\/10.1109\/CSA.2009.5404226","DOI":"10.1109\/CSA.2009.5404226"},{"issue":"4","key":"14613_CR51","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/s00799-004-0101-0","volume":"5","author":"J Goldman","year":"2005","unstructured":"Goldman J, Renals S, Bird S, De Jong F, Federico M, Fleischhauer C, Wright R (2005) Accessing the spoken word. Int J Digit Libr 5(4):287\u2013298. https:\/\/doi.org\/10.1007\/s00799-004-0101-0","journal-title":"Int J Digit Libr"},{"key":"14613_CR52","doi-asserted-by":"publisher","unstructured":"Gong Y, Liu X (2001) Generic text summarization using relevance measure and latent semantic analysis. In proceedings of the 24th annual international ACM SIGIR conference on research and development in information retrieval (pp. 19-25). https:\/\/doi.org\/10.1145\/383952.383955","DOI":"10.1145\/383952.383955"},{"key":"14613_CR53","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.eswa.2018.07.047","volume":"115","author":"FB Goularte","year":"2019","unstructured":"Goularte FB, Nassar SM, Fileto R, Saggion H (2019) A text summarization method based on fuzzy rules and applicable to automated assessment. Expert Syst Appl 115:264\u2013275. https:\/\/doi.org\/10.1016\/j.eswa.2018.07.047","journal-title":"Expert Syst Appl"},{"issue":"3","key":"14613_CR54","doi-asserted-by":"publisher","first-page":"258","DOI":"10.4304\/jetwi.2.3.258-268","volume":"2","author":"V Gupta","year":"2010","unstructured":"Gupta V, Lehal GS (2010) A survey of text summarization extractive techniques. J Emerg Technol Web Intell 2(3):258\u2013268. https:\/\/doi.org\/10.4304\/jetwi.2.3.258-268","journal-title":"J Emerg Technol Web Intell"},{"key":"14613_CR55","unstructured":"Gupta P, Pendluri VS, Vats I (2011) Summarizing text by ranking text units according to shallow linguistic features. In 13th international conference on advanced communication technology (ICACT2011) (pp. 1620-1625). IEEE"},{"key":"14613_CR56","first-page":"1","volume-title":"Evaluation of automatic text summarization","author":"M Hassel","year":"2004","unstructured":"Hassel M (2004) Evaluation of automatic text summarization. Licentiate Thesis, Stockholm, Sweden, pp 1\u201375"},{"key":"14613_CR57","doi-asserted-by":"publisher","first-page":"101267","DOI":"10.1016\/j.csl.2021.101267","volume":"71","author":"\u00c1 Hern\u00e1ndez-Casta\u00f1eda","year":"2022","unstructured":"Hern\u00e1ndez-Casta\u00f1eda \u00c1, Garc\u00eda-Hern\u00e1ndez RA, Ledeneva Y, Mill\u00e1n-Hern\u00e1ndez CE (2022) Language-independent extractive automatic text summarization based on automatic keyword extraction. Comput Speech Lang 71:101267. https:\/\/doi.org\/10.1016\/j.csl.2021.101267","journal-title":"Comput Speech Lang"},{"issue":"6","key":"14613_CR58","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1016\/j.ijmedinf.2011.02.008","volume":"80","author":"JR Herskovic","year":"2011","unstructured":"Herskovic JR, Cohen T, Subramanian D, Iyengar MS, Smith JW, Bernstam EV (2011) MEDRank: using graph-based concept ranking to index biomedical texts. Int J Med Inform 80(6):431\u2013441. https:\/\/doi.org\/10.1016\/j.ijmedinf.2011.02.008","journal-title":"Int J Med Inform"},{"key":"14613_CR59","doi-asserted-by":"publisher","unstructured":"Hin D, Kan A, Chen H, Babar MA (2022) LineVD: statement-level vulnerability detection using graph neural networks. arXiv preprint arXiv:2203.05181.https:\/\/doi.org\/10.48550\/arXiv.2203.05181","DOI":"10.48550\/arXiv.2203.05181"},{"key":"14613_CR60","doi-asserted-by":"publisher","unstructured":"Irfan M, Zulfikar WB (2017) Implementation of fuzzy C-means algorithm and TF-IDF on English journal summary. In 2017 second international conference on informatics and computing (ICIC) (pp. 1-5). IEEE. https:\/\/doi.org\/10.1109\/IAC.2017.8280646","DOI":"10.1109\/IAC.2017.8280646"},{"key":"14613_CR61","doi-asserted-by":"publisher","unstructured":"Isonuma M, Fujino T, Mori J, Matsuo Y, Sakata I (2017) Extractive summarization using multi-task learning with document classification. In proceedings of the 2017 conference on empirical methods in natural language processing (pp. 2101-2110). https:\/\/doi.org\/10.18653\/v1\/D17-1223","DOI":"10.18653\/v1\/D17-1223"},{"issue":"2","key":"14613_CR62","first-page":"301","volume":"2","author":"HJ Jain","year":"2012","unstructured":"Jain HJ, Bewoor MS, Patil SH (2012) Context sensitive text summarization using k means clustering algorithm. Int J Soft Comput Eng 2(2):301\u2013304","journal-title":"Int J Soft Comput Eng"},{"key":"14613_CR63","doi-asserted-by":"publisher","unstructured":"Jain D, Borah MD, Biswas A (2021) Automatic summarization of legal bills: a comparative analysis of classical extractive approaches. In 2021 international conference on computing, communication, and intelligent systems (ICCCIS) (pp. 394-400). IEEE. https:\/\/doi.org\/10.1109\/ICCCIS51004.2021.9397119","DOI":"10.1109\/ICCCIS51004.2021.9397119"},{"issue":"3","key":"14613_CR64","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJORIS.20210701.oa1","volume":"12","author":"A Jain","year":"2021","unstructured":"Jain A, Yadav D, Arora A (2021) Particle swarm optimization for Punjabi text summarization. Int J Oper Res Inf Syst (IJORIS) 12(3):1\u201317. https:\/\/doi.org\/10.4018\/IJORIS.20210701.oa1","journal-title":"Int J Oper Res Inf Syst (IJORIS)"},{"key":"14613_CR65","doi-asserted-by":"publisher","first-page":"14358","DOI":"10.1109\/ACCESS.2021.3051237","volume":"9","author":"M Jang","year":"2021","unstructured":"Jang M, Kang P (2021) Learning-free unsupervised extractive summarization model. IEEE Access 9:14358\u201314368. https:\/\/doi.org\/10.1109\/ACCESS.2021.3051237","journal-title":"IEEE Access"},{"issue":"6","key":"14613_CR66","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1016\/j.ipm.2007.03.009","volume":"43","author":"KS Jones","year":"2007","unstructured":"Jones KS (2007) Automatic summarising: the state of the art. Inf Process Manag 43(6):1449\u20131481. https:\/\/doi.org\/10.1016\/j.ipm.2007.03.009","journal-title":"Inf Process Manag"},{"key":"14613_CR67","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.eswa.2019.03.045","volume":"129","author":"A Joshi","year":"2019","unstructured":"Joshi A, Fidalgo E, Alegre E, Fern\u00e1ndez-Robles L (2019) SummCoder: an unsupervised framework for extractive text summarization based on deep auto-encoders. Expert Syst Appl 129:200\u2013215. https:\/\/doi.org\/10.1016\/j.eswa.2019.03.045","journal-title":"Expert Syst Appl"},{"key":"14613_CR68","doi-asserted-by":"publisher","first-page":"116846","DOI":"10.1016\/j.eswa.2022.116846","volume":"200","author":"A Joshi","year":"2022","unstructured":"Joshi A, Fidalgo E, Alegre E, Alaiz-Rodriguez R (2022) RankSum\u2014an unsupervised extractive text summarization based on rank fusion. Expert Syst Appl 200:116846. https:\/\/doi.org\/10.1016\/j.eswa.2022.116846","journal-title":"Expert Syst Appl"},{"key":"14613_CR69","doi-asserted-by":"crossref","unstructured":"K\u00e5geb\u00e4ck M, Mogren O, Tahmasebi N, Dubhashi D (2014) Extractive summarization using continuous vector space models. In proceedings of the 2nd workshop on continuous vector space models and their compositionality (CVSC) (pp. 31-39). https:\/\/aclanthology.org\/W14-1504.pdf","DOI":"10.3115\/v1\/W14-1504"},{"key":"14613_CR70","doi-asserted-by":"publisher","unstructured":"Kaikhah K (2004) Automatic text summarization with neural networks. In 2004 2nd international IEEE conference on'Intelligent Systems'. Proceedings (IEEE cat. No. 04EX791) (Vol. 1, pp. 40-44). IEEE. https:\/\/doi.org\/10.1109\/IS.2004.1344634","DOI":"10.1109\/IS.2004.1344634"},{"key":"14613_CR71","doi-asserted-by":"publisher","unstructured":"Keyvanpour MR, Shirzad MB, Rashidghalam H (2019) Elts: a brief review for extractive learning-based text summarizatoin algorithms. In 2019 5th international conference on web research (ICWR) (pp. 234-239). IEEE. https:\/\/doi.org\/10.1109\/ICWR.2019.8765294","DOI":"10.1109\/ICWR.2019.8765294"},{"key":"14613_CR72","doi-asserted-by":"publisher","first-page":"115820","DOI":"10.1016\/j.eswa.2021.115820","volume":"187","author":"A Khurana","year":"2022","unstructured":"Khurana A, Bhatnagar V (2022) Investigating entropy for extractive document summarization. Expert Syst Appl 187:115820. https:\/\/doi.org\/10.1016\/j.eswa.2021.115820","journal-title":"Expert Syst Appl"},{"key":"14613_CR73","unstructured":"Kiyomarsi F, Esfahani FR (2011) Optimizing persian text summarization based on fuzzy logic approach. In 2011 international conference on intelligent building and management"},{"key":"14613_CR74","doi-asserted-by":"publisher","unstructured":"Koto F, Lau JH, Baldwin T (2021) Discourse probing of pretrained language models. arXiv preprint arXiv:2104.05882. https:\/\/doi.org\/10.48550\/arXiv.2104.05882","DOI":"10.48550\/arXiv.2104.05882"},{"key":"14613_CR75","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.asoc.2014.03.041","volume":"21","author":"YJ Kumar","year":"2014","unstructured":"Kumar YJ, Salim N, Abuobieda A, Albaham AT (2014) Multi document summarization based on news components using fuzzy cross-document relations. Appl Soft Comput 21:265\u2013279. https:\/\/doi.org\/10.1016\/j.asoc.2014.03.041","journal-title":"Appl Soft Comput"},{"key":"14613_CR76","doi-asserted-by":"publisher","unstructured":"Kumar A, Sharma A, Nayyar A (2020) Fuzzy logic-based hybrid model for automatic extractive text summarization. In proceedings of the 2020 5th international conference on intelligent information technology (pp. 7-15). https:\/\/doi.org\/10.1145\/3385209.3385235","DOI":"10.1145\/3385209.3385235"},{"issue":"8","key":"14613_CR77","doi-asserted-by":"publisher","first-page":"5897","DOI":"10.1007\/s10462-021-09964-4","volume":"54","author":"Y Kumar","year":"2021","unstructured":"Kumar Y, Kaur K, Kaur S (2021) Study of automatic text summarization approaches in different languages. Artif Intell Rev 54(8):5897\u20135929. https:\/\/doi.org\/10.1007\/s10462-021-09964-4","journal-title":"Artif Intell Rev"},{"key":"14613_CR78","doi-asserted-by":"publisher","unstructured":"LeClair A, Haque S, Wu L, McMillan C (2020) Improved code summarization via a graph neural network. In proceedings of the 28th international conference on program comprehension (pp. 184-195). https:\/\/doi.org\/10.1145\/3387904.3389268","DOI":"10.1145\/3387904.3389268"},{"issue":"5","key":"14613_CR79","doi-asserted-by":"publisher","first-page":"1162","DOI":"10.1109\/TKDE.2012.42","volume":"25","author":"X Li","year":"2012","unstructured":"Li X, Du L, Shen YD (2012) Update summarization via graph-based sentence ranking. IEEE Trans Knowl Data Eng 25(5):1162\u20131174. https:\/\/doi.org\/10.1109\/TKDE.2012.42","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"14613_CR80","doi-asserted-by":"publisher","unstructured":"Lins RD, Oliveira H, Cabral L, Batista J, Tenorio B, Salcedo DA, Simske SJ (2019) The CNN-Corpus in Spanish: a large Corpus for extractive text summarization in the Spanish language. In proceedings of the ACM symposium on document engineering 2019 (pp. 1-4). https:\/\/doi.org\/10.1145\/3342558.3345423","DOI":"10.1145\/3342558.3345423"},{"key":"14613_CR81","doi-asserted-by":"publisher","unstructured":"Lins RD, Oliveira H, Cabral L, Batista J, Tenorio B, Ferreira R, Simske SJ (2019) The cnn-corpus: A large textual corpus for single-document extractive summarization. In Proceedings of the ACM Symposium on Document Engineering 2019 (pp. 1\u201310). https:\/\/doi.org\/10.1145\/3342558.3345388","DOI":"10.1145\/3342558.3345388"},{"key":"14613_CR82","doi-asserted-by":"publisher","unstructured":"Lins RD, Mello RF, Simske S (2019) DocEng'19 competition on extractive text summarization. In proceedings of the ACM symposium on document engineering 2019 (pp. 1-2). https:\/\/doi.org\/10.1145\/3342558.3351874","DOI":"10.1145\/3342558.3351874"},{"key":"14613_CR83","doi-asserted-by":"publisher","unstructured":"Lins RD, de Mello RF, Simske SJ (2020) DocEng'2020 competition on extractive text summarization. In proceedings of the ACM symposium on document engineering 2020 (pp. 1-4). https:\/\/doi.org\/10.1145\/3395027.3419579","DOI":"10.1145\/3395027.3419579"},{"issue":"1","key":"14613_CR84","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00416ED1V01Y201204HLT016","volume":"5","author":"B Liu","year":"2012","unstructured":"Liu B (2012) Sentiment analysis and opinion mining. Synth Lectures Human Lang Technol 5(1):1\u2013167. https:\/\/doi.org\/10.2200\/S00416ED1V01Y201204HLT016","journal-title":"Synth Lectures Human Lang Technol"},{"key":"14613_CR85","doi-asserted-by":"crossref","unstructured":"Liu F, Liu Y (2008) Correlation between rouge and human evaluation of extractive meeting summaries. In proceedings of ACL-08: HLT, short papers (pp. 201-204). https:\/\/aclanthology.org\/P08-2051.pdf","DOI":"10.3115\/1557690.1557747"},{"key":"14613_CR86","doi-asserted-by":"publisher","unstructured":"Liu Y, Zhong SH, Li W (2012) Query-oriented multi-document summarization via unsupervised deep learning. In: Proceedings of the AAAI conference on artificial intelligence, vol 26, no 1, pp 1699\u20131705. https:\/\/doi.org\/10.1609\/aaai.v26i1.8352","DOI":"10.1609\/aaai.v26i1.8352"},{"issue":"6","key":"14613_CR87","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1109\/TASLP.2015.2414820","volume":"23","author":"SH Liu","year":"2015","unstructured":"Liu SH, Chen KY, Chen B, Wang HM, Yen HC, Hsu WL (2015) Combining relevance language modeling and clarity measure for extractive speech summarization. IEEE\/ACM Transact Audio, Speech, Lang Process 23(6):957\u2013969. https:\/\/doi.org\/10.1109\/TASLP.2015.2414820","journal-title":"IEEE\/ACM Transact Audio, Speech, Lang Process"},{"issue":"2","key":"14613_CR88","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1147\/rd.22.0159","volume":"2","author":"HP Luhn","year":"1958","unstructured":"Luhn HP (1958) The automatic creation of literature abstracts. IBM J Res Dev 2(2):159\u2013165. https:\/\/doi.org\/10.1147\/rd.22.0159","journal-title":"IBM J Res Dev"},{"key":"14613_CR89","doi-asserted-by":"publisher","unstructured":"Luo L, Ao X, Song Y, Pan F, Yang M, He Q (2019) Reading like HER: human reading inspired extractive summarization. In proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP) (pp. 3033-3043). https:\/\/doi.org\/10.18653\/v1\/D19-1300","DOI":"10.18653\/v1\/D19-1300"},{"key":"14613_CR90","doi-asserted-by":"publisher","unstructured":"Lwin SS, Nwet KT (2018) Extractive summarization for Myanmar language. In 2018 international joint symposium on artificial intelligence and natural language processing (iSAI-NLP) (pp. 1-6). IEEE. https:\/\/doi.org\/10.1109\/iSAI-NLP.2018.8692976","DOI":"10.1109\/iSAI-NLP.2018.8692976"},{"key":"14613_CR91","doi-asserted-by":"publisher","unstructured":"Lwin SS, Nwet KT (2019) Extractive Myanmar news summarization using centroid based word embedding. In:\u00a02019 international conference on advanced information technologies (ICAIT). IEEE, pp 200\u2013205. https:\/\/doi.org\/10.1109\/AITC.2019.8921386","DOI":"10.1109\/AITC.2019.8921386"},{"issue":"4","key":"14613_CR92","doi-asserted-by":"publisher","first-page":"703","DOI":"10.26713\/jims.v10i4.891","volume":"10","author":"S Mandal","year":"2018","unstructured":"Mandal S, Singh GK, Pal A (2018) A constraints driven PSO based approach for text summarization. J Inf Math Sci 10(4):703\u2013714. https:\/\/doi.org\/10.26713\/jims.v10i4.891","journal-title":"J Inf Math Sci"},{"issue":"9","key":"14613_CR93","doi-asserted-by":"publisher","first-page":"713","DOI":"10.3844\/jcssp.2008.713.720","volume":"4","author":"HI Mathkour","year":"2008","unstructured":"Mathkour HI, Touir AA, Al-Sanea WA (2008) Parsing Arabic texts using rhetorical structure theory. J Comput Sci 4(9):713\u2013720","journal-title":"J Comput Sci"},{"key":"14613_CR94","doi-asserted-by":"publisher","unstructured":"Maurya AK (2020) Resource and task clustering based scheduling algorithm for workflow applications in cloud computing environment. In 2020 sixth international conference on parallel, distributed and grid computing (PDGC) (pp. 566-570). IEEE. https:\/\/doi.org\/10.1109\/PDGC50313.2020.9315806","DOI":"10.1109\/PDGC50313.2020.9315806"},{"key":"14613_CR95","doi-asserted-by":"publisher","unstructured":"Maurya R, Singh SK, Maurya AK, Kumar A (2014) GLCM and multi class support vector machine based automated skin cancer classification. In 2014 international conference on computing for sustainable global development (INDIACom) (pp. 444-447). IEEE. https:\/\/doi.org\/10.1109\/IndiaCom.2014.6828177","DOI":"10.1109\/IndiaCom.2014.6828177"},{"key":"14613_CR96","doi-asserted-by":"publisher","unstructured":"Maurya SK, Singh D, Maurya AK (2022) Deceptive opinion spam detection approaches: a literature survey. Applied intelligence, 1-46. https:\/\/doi.org\/10.1007\/s10489-022-03427-1","DOI":"10.1007\/s10489-022-03427-1"},{"key":"14613_CR97","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.procs.2015.04.177","volume":"48","author":"YK Meena","year":"2015","unstructured":"Meena YK, Gopalani D (2015) Evolutionary algorithms for extractive automatic text summarization. Proced Comput Sci 48:244\u2013249. https:\/\/doi.org\/10.1016\/j.procs.2015.04.177","journal-title":"Proced Comput Sci"},{"issue":"2","key":"14613_CR98","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.ipm.2017.11.002","volume":"54","author":"P Mehta","year":"2018","unstructured":"Mehta P, Majumder P (2018) Effective aggregation of various summarization techniques. Inf Process Manag 54(2):145\u2013158. https:\/\/doi.org\/10.1016\/j.ipm.2017.11.002","journal-title":"Inf Process Manag"},{"issue":"3","key":"14613_CR99","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1007\/s10115-011-0437-x","volume":"31","author":"JP Mei","year":"2012","unstructured":"Mei JP, Chen L (2012) SumCR: a new subtopic-based extractive approach for text summarization. Knowl Inf Syst 31(3):527\u2013545. https:\/\/doi.org\/10.1007\/s10115-011-0437-x","journal-title":"Knowl Inf Syst"},{"issue":"9","key":"14613_CR100","doi-asserted-by":"publisher","first-page":"4158","DOI":"10.1016\/j.eswa.2013.12.042","volume":"41","author":"M Mendoza","year":"2014","unstructured":"Mendoza M, Bonilla S, Noguera C, Cobos C, Le\u00f3n E (2014) Extractive single-document summarization based on genetic operators and guided local search. Expert Syst Appl 41(9):4158\u20134169. https:\/\/doi.org\/10.1016\/j.eswa.2013.12.042","journal-title":"Expert Syst Appl"},{"key":"14613_CR101","doi-asserted-by":"publisher","unstructured":"Merchant K, Pande Y (2018) Nlp based latent semantic analysis for legal text summarization. In 2018 international conference on advances in computing, communications and informatics (ICACCI) (pp. 1803-1807). IEEE. https:\/\/doi.org\/10.1109\/ICACCI.2018.8554831","DOI":"10.1109\/ICACCI.2018.8554831"},{"key":"14613_CR102","doi-asserted-by":"crossref","unstructured":"Mihalcea R, Tarau P (2004) Textrank: bringing order into text. In proceedings of the 2004 conference on empirical methods in natural language processing (pp. 404-411)","DOI":"10.3115\/1220575.1220627"},{"issue":"1","key":"14613_CR103","first-page":"75","volume":"28","author":"H MirShojaee","year":"2017","unstructured":"MirShojaee H, Masoumi B, Zeinali E (2017) Biogeography-based optimization algorithm for automatic extractive text summarization. Int J Indust Eng Product Res 28(1):75\u201384 http:\/\/ijiepr.iust.ac.ir\/article-1-722-en.html","journal-title":"Int J Indust Eng Product Res"},{"issue":"2","key":"14613_CR104","first-page":"19","volume":"8","author":"SH Mirshojaei","year":"2015","unstructured":"Mirshojaei SH, Masoomi B (2015) Text summarization using cuckoo search optimization algorithm. J Comput Robot 8(2):19\u201324 http:\/\/www.qjcr.ir\/article_683.html","journal-title":"J Comput Robot"},{"issue":"4","key":"14613_CR105","doi-asserted-by":"publisher","first-page":"1356","DOI":"10.1016\/j.ipm.2019.04.003","volume":"56","author":"M Mohamed","year":"2019","unstructured":"Mohamed M, Oussalah M (2019) SRL-ESA-TextSum: a text summarization approach based on semantic role labeling and explicit semantic analysis. Inf Process Manag 56(4):1356\u20131372. https:\/\/doi.org\/10.1016\/j.ipm.2019.04.003","journal-title":"Inf Process Manag"},{"issue":"10","key":"14613_CR106","first-page":"239678","volume":"2","author":"HS Moiyadi","year":"2016","unstructured":"Moiyadi HS, Desai H, Pawar D, Agrawal G, Patil NM (2016) NLP based text summarization using semantic analysis. Int J Adv Eng Manag Sci 2(10):239678","journal-title":"Int J Adv Eng Manag Sci"},{"key":"14613_CR107","doi-asserted-by":"publisher","unstructured":"Moratanch N, Chitrakala S (2017) A survey on extractive text summarization. In:\u00a02017 international conference on computer, communication and signal processing (ICCCSP). IEEE, pp 1\u20136. https:\/\/doi.org\/10.1109\/ICCCSP.2017.7944061","DOI":"10.1109\/ICCCSP.2017.7944061"},{"issue":"3","key":"14613_CR108","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3392048","volume":"20","author":"B Muthu","year":"2021","unstructured":"Muthu B, Cb S, Kumar PM, Kadry SN, Hsu CH, Sanjuan O, Crespo RG (2021) A framework for extractive text summarization based on deep learning modified neural network classifier. Trans Asian Low-Resource Lang Inf Process 20(3):1\u201320. https:\/\/doi.org\/10.1145\/3392048","journal-title":"Trans Asian Low-Resource Lang Inf Process"},{"key":"14613_CR109","doi-asserted-by":"publisher","first-page":"104848","DOI":"10.1016\/j.knosys.2019.07.019","volume":"183","author":"B Mutlu","year":"2019","unstructured":"Mutlu B, Sezer EA, Akcayol MA (2019) Multi-document extractive text summarization: a comparative assessment on features. Knowl-Based Syst 183:104848. https:\/\/doi.org\/10.1016\/j.knosys.2019.07.019","journal-title":"Knowl-Based Syst"},{"issue":"6","key":"14613_CR110","doi-asserted-by":"publisher","first-page":"102359","DOI":"10.1016\/j.ipm.2020.102359","volume":"57","author":"B Mutlu","year":"2020","unstructured":"Mutlu B, Sezer EA, Akcayol MA (2020) Candidate sentence selection for extractive text summarization. Inf Process Manag 57(6):102359. https:\/\/doi.org\/10.1016\/j.ipm.2020.102359","journal-title":"Inf Process Manag"},{"issue":"10","key":"14613_CR111","first-page":"1991","volume":"7","author":"S Nagalla","year":"2021","unstructured":"Nagalla S, Kumar KC (2021) Oppositional lion optimization algorithm and deep neural network based multi-document summarization from large-scale documents. Eur J Mol Clin Med 7(10):1991\u20132009 https:\/\/www.ejmcm.com\/article_6857.html","journal-title":"Eur J Mol Clin Med"},{"key":"14613_CR112","doi-asserted-by":"publisher","unstructured":"Naik SS, Gaonkar MN (2017) Extractive text summarization by feature-based sentence extraction using rule-based concept. In 2017 2nd IEEE international conference on recent trends in electronics, Information & Communication Technology (RTEICT) (pp. 1364-1368). IEEE. https:\/\/doi.org\/10.1109\/RTEICT.2017.8256821","DOI":"10.1109\/RTEICT.2017.8256821"},{"key":"14613_CR113","doi-asserted-by":"publisher","unstructured":"Nallapati R, Zhou B, Ma M (2016) Classify or select: neural architectures for extractive document summarization. arXiv preprint arXiv:1611.04244. https:\/\/doi.org\/10.48550\/arXiv.1611.04244","DOI":"10.48550\/arXiv.1611.04244"},{"key":"14613_CR114","doi-asserted-by":"publisher","unstructured":"Nallapati R, Zhai F, Zhou B (2017) Summarunner: a recurrent neural network-based sequence model for extractive summarization of documents. In Thirty-first AAAI conference on artificial intelligence https:\/\/doi.org\/10.48550\/arXiv.1611.04230, 31","DOI":"10.48550\/arXiv.1611.04230"},{"key":"14613_CR115","doi-asserted-by":"publisher","unstructured":"Narayan S, Cohen SB, Lapata M (2018) Ranking sentences for extractive summarization with reinforcement learning. arXiv preprint arXiv:1802.08636. https:\/\/doi.org\/10.48550\/arXiv.1802.08636","DOI":"10.48550\/arXiv.1802.08636"},{"issue":"6","key":"14613_CR116","doi-asserted-by":"publisher","first-page":"102383","DOI":"10.1016\/j.ipm.2020.102383","volume":"57","author":"A Nawaz","year":"2020","unstructured":"Nawaz A, Bakhtyar M, Baber J, Ullah I, Noor W, Basit A (2020) Extractive text summarization models for Urdu language. Inf Process Manag 57(6):102383. https:\/\/doi.org\/10.1016\/j.ipm.2020.102383","journal-title":"Inf Process Manag"},{"key":"14613_CR117","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36127-8_20","volume-title":"Automatic text summarization using a machine learning approach. In Brazilian symposium on artificial intelligence (pp. 205-215)","author":"JL Neto","year":"2002","unstructured":"Neto JL, Freitas AA, Kaestner CA (2002) Automatic text summarization using a machine learning approach. In Brazilian symposium on artificial intelligence (pp. 205-215). Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/3-540-36127-8_20"},{"issue":"4","key":"14613_CR118","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1177\/0165551511408848","volume":"37","author":"MG Ozsoy","year":"2011","unstructured":"Ozsoy MG, Alpaslan FN, Cicekli I (2011) Text summarization using latent semantic analysis. J Inf Sci 37(4):405\u2013417. https:\/\/doi.org\/10.1177\/0165551511408848","journal-title":"J Inf Sci"},{"key":"14613_CR119","doi-asserted-by":"crossref","unstructured":"Papineni K, Roukos S, Ward T, Zhu WJ (2002) Bleu: a method for automatic evaluation of machine translation. In proceedings of the 40th annual meeting of the Association for Computational Linguistics (pp. 311-318). https:\/\/aclanthology.org\/P02-1040.pdf","DOI":"10.3115\/1073083.1073135"},{"key":"14613_CR120","unstructured":"Parveen D, Strube M (2015) Integrating importance, non-redundancy and coherence in graph-based extractive summarization. In:\u00a0IJCAI'15: Proceedings of the 24th International Conference on Artificial Intelligence, pp\u00a01298\u20131304"},{"key":"14613_CR121","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.eswa.2019.05.045","volume":"134","author":"D Patel","year":"2019","unstructured":"Patel D, Shah S, Chhinkaniwala H (2019) Fuzzy logic-based multi-document summarization with improved sentence scoring and redundancy removal technique. Expert Syst Appl 134:167\u2013177. https:\/\/doi.org\/10.1016\/j.eswa.2019.05.045","journal-title":"Expert Syst Appl"},{"key":"14613_CR122","doi-asserted-by":"publisher","unstructured":"Patil SR, Mahajan SM (2011) A novel approach for research paper abstracts summarization using cluster-based sentence extraction. In proceedings of the International Conference & Workshop on emerging trends in technology (pp. 583-586). https:\/\/doi.org\/10.1145\/1980022.1980150","DOI":"10.1145\/1980022.1980150"},{"issue":"04","key":"14613_CR123","doi-asserted-by":"publisher","first-page":"263","DOI":"10.21786\/bbrc\/13.14\/8","volume":"10","author":"A Potnurwar","year":"2020","unstructured":"Potnurwar A, Pimpalshende A, Aote SS, Bongirwar V (2020) Extractive multi-document text summarization by using binary particle swarm optimization. Helix 10(04):263\u2013265. https:\/\/doi.org\/10.21786\/bbrc\/13.14\/8","journal-title":"Helix"},{"key":"14613_CR124","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.procs.2015.04.110","volume":"48","author":"SN Prasad","year":"2015","unstructured":"Prasad SN, Narsimha VB, Reddy PV, Babu AV (2015) Influence of lexical, syntactic and structural features and their combination on authorship attribution for Telugu text. Proced Comput Sci 48:58\u201364. https:\/\/doi.org\/10.1016\/j.procs.2015.04.110","journal-title":"Proced Comput Sci"},{"issue":"6","key":"14613_CR125","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1016\/j.jksuci.2019.03.010","volume":"33","author":"A Qaroush","year":"2021","unstructured":"Qaroush A, Farha IA, Ghanem W, Washaha M, Maali E (2021) An efficient single document Arabic text summarization using a combination of statistical and semantic features. J King Saud Univ Comput Inf Sci 33(6):677\u2013692. https:\/\/doi.org\/10.1016\/j.jksuci.2019.03.010","journal-title":"J King Saud Univ Comput Inf Sci"},{"key":"14613_CR126","doi-asserted-by":"publisher","unstructured":"Rahman N, Borah B (2015) A survey on existing extractive techniques for query-based text summarization. In 2015 international symposium on advanced computing and communication (ISACC) (pp. 98-102). IEEE. https:\/\/doi.org\/10.1109\/ISACC.2015.7377323","DOI":"10.1109\/ISACC.2015.7377323"},{"issue":"3","key":"14613_CR127","doi-asserted-by":"publisher","first-page":"3275","DOI":"10.1007\/s11042-020-09549-3","volume":"80","author":"R Rani","year":"2021","unstructured":"Rani R, Lobiyal DK (2021) An extractive text summarization approach using tagged-LDA based topic modeling. Multimed Tools Appl 80(3):3275\u20133305. https:\/\/doi.org\/10.1007\/s11042-020-09549-3","journal-title":"Multimed Tools Appl"},{"key":"14613_CR128","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.physa.2017.02.056","volume":"477","author":"R Rautray","year":"2017","unstructured":"Rautray R, Balabantaray RC (2017) Cat swarm optimization-based evolutionary framework for multi-document summarization. Physica A: Stat Mech Appl 477:174\u2013186. https:\/\/doi.org\/10.1016\/j.physa.2017.02.056","journal-title":"Physica A: Stat Mech Appl"},{"key":"14613_CR129","doi-asserted-by":"publisher","unstructured":"Raval KR, Goyani MM (2022) A survey on event detection-based video summarization for cricket. Multimed Tools Appl, 1-29. https:\/\/doi.org\/10.1007\/s11042-022-12834-y","DOI":"10.1007\/s11042-022-12834-y"},{"key":"14613_CR130","doi-asserted-by":"publisher","unstructured":"Ravinuthala VVMK, Chinnam SR (2017) A keyword extraction approach for single document extractive summarization based on topic centrality. Int J Intell Eng Syst https:\/\/doi.org\/10.22266\/ijies2017.1031.17","DOI":"10.22266\/ijies2017.1031.17"},{"key":"14613_CR131","doi-asserted-by":"crossref","unstructured":"Rothe S, Sch\u00fctze H (2014) Cosimrank: a flexible & efficient graph-theoretic similarity measure. In proceedings of the 52nd annual meeting of the Association for Computational Linguistics (volume 1: long papers) (pp. 1392-1402). https:\/\/aclanthology.org\/P14-1131.pdf","DOI":"10.3115\/v1\/P14-1131"},{"key":"14613_CR132","doi-asserted-by":"publisher","unstructured":"Sahba R, Ebadi N, Jamshidi M, Rad P (2018) Automatic text summarization using customizable fuzzy features and attention on the context and vocabulary. In 2018 world automation congress (WAC) (pp. 1-5). IEEE. https:\/\/doi.org\/10.23919\/WAC.2018.8430483","DOI":"10.23919\/WAC.2018.8430483"},{"key":"14613_CR133","doi-asserted-by":"publisher","unstructured":"Sahoo D, Balabantaray R, Phukon M, Saikia S (2016) Aspect-based multi-document summarization. In 2016 international conference on computing, communication and automation (ICCCA) (pp. 873-877). IEEE. https:\/\/doi.org\/10.1109\/CCAA.2016.7813838","DOI":"10.1109\/CCAA.2016.7813838"},{"issue":"2","key":"14613_CR134","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1016\/S0306-4573(96)00062-3","volume":"33","author":"G Salton","year":"1997","unstructured":"Salton G, Singhal A, Mitra M, Buckley C (1997) Automatic text structuring and summarization. Inf Process Manag 33(2):193\u2013207. https:\/\/doi.org\/10.1016\/S0306-4573(96)00062-3","journal-title":"Inf Process Manag"},{"key":"14613_CR135","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.knosys.2017.11.029","volume":"159","author":"JM Sanchez-Gomez","year":"2018","unstructured":"Sanchez-Gomez JM, Vega-Rodr\u00edguez MA, P\u00e9rez CJ (2018) Extractive multi-document text summarization using a multi-objective artificial bee colony optimization approach. Knowl-Based Syst 159:1\u20138. https:\/\/doi.org\/10.1016\/j.knosys.2017.11.029","journal-title":"Knowl-Based Syst"},{"key":"14613_CR136","doi-asserted-by":"publisher","first-page":"112904","DOI":"10.1016\/j.eswa.2019.112904","volume":"140","author":"JM Sanchez-Gomez","year":"2020","unstructured":"Sanchez-Gomez JM, Vega-Rodriguez MA, Perez CJ (2020) Experimental analysis of multiple criteria for extractive multi-document text summarization. Expert Syst Appl 140:112904. https:\/\/doi.org\/10.1016\/j.eswa.2019.112904","journal-title":"Expert Syst Appl"},{"issue":"1","key":"14613_CR137","first-page":"75","volume":"4","author":"AK Shaymal","year":"2007","unstructured":"Shaymal AK, Pal M (2007) Triangular fuzzy matrices. Iran J Fuzzy Syst 4(1):75\u201387 https:\/\/www.sid.ir\/en\/Journal\/ViewPaper.aspx?ID=67072","journal-title":"Iran J Fuzzy Syst"},{"key":"14613_CR138","doi-asserted-by":"publisher","unstructured":"Shen C, Li T (2011) Learning to rank for query-focused multi-document summarization. In 2011 IEEE 11th international conference on data mining (pp. 626-634). IEEE. https:\/\/doi.org\/10.1109\/ICDM.2011.91","DOI":"10.1109\/ICDM.2011.91"},{"key":"14613_CR139","doi-asserted-by":"publisher","unstructured":"Shirwandkar NS, Kulkarni S (2018) Extractive text summarization using deep learning. In 2018 fourth international conference on computing communication control and automation (ICCUBEA) (pp. 1-5). IEEE. https:\/\/doi.org\/10.1109\/ICCUBEA.2018.8697465","DOI":"10.1109\/ICCUBEA.2018.8697465"},{"key":"14613_CR140","doi-asserted-by":"crossref","unstructured":"Shoaib M, Maurya AK (2014) Comparative study of different web mining algorithms to discover knowledge on the web. In proceedings of Elsevier second international conference on emerging research in computing, information, communication and application (ERCICA-2014) (Vol. 3, pp. 648-654)","DOI":"10.1109\/ICAETR.2014.7012962"},{"key":"14613_CR141","doi-asserted-by":"publisher","unstructured":"Shoaib M, Maurya AK (2014) URL ordering-based performance evaluation of web crawler. In 2014 international conference on advances in Engineering & Technology Research (ICAETR-2014) (pp. 1-7). IEEE. https:\/\/doi.org\/10.1109\/ICAETR.2014.7012962","DOI":"10.1109\/ICAETR.2014.7012962"},{"key":"14613_CR142","doi-asserted-by":"publisher","unstructured":"Siddiqui MK, Ahmad A, Pal O, Ahmad T (2021) CoRank: a clustering cum graph ranking approach for extractive summarization. arXiv preprint arXiv:2106.00619. https:\/\/doi.org\/10.48550\/arXiv.2106.00619","DOI":"10.48550\/arXiv.2106.00619"},{"key":"14613_CR143","doi-asserted-by":"publisher","unstructured":"Singh SP, Kumar A, Mangal A, Singhal S (2016) Bilingual automatic text summarization using unsupervised deep learning. In 2016 international conference on electrical, electronics, and optimization techniques (ICEEOT) (pp. 1195-1200). IEEE. https:\/\/doi.org\/10.1109\/ICEEOT.2016.7754874","DOI":"10.1109\/ICEEOT.2016.7754874"},{"issue":"8","key":"14613_CR144","doi-asserted-by":"publisher","first-page":"3251","DOI":"10.1007\/s00521-020-05188-9","volume":"33","author":"RK Singh","year":"2021","unstructured":"Singh RK, Khetarpaul S, Gorantla R, Allada SG (2021) SHEG: summarization and headline generation of news articles using deep learning. Neural Comput & Applic 33(8):3251\u20133265. https:\/\/doi.org\/10.1007\/s00521-020-05188-9","journal-title":"Neural Comput & Applic"},{"issue":"1","key":"14613_CR145","doi-asserted-by":"publisher","first-page":"35","DOI":"10.32604\/jbd.2021.015954","volume":"3","author":"NK Sirohi","year":"2021","unstructured":"Sirohi NK, Bansal M, Rajan SN (2021) Recent approaches for text summarization using machine learning & LSTM0. J Big Data 3(1):35. https:\/\/doi.org\/10.32604\/jbd.2021.015954","journal-title":"J Big Data"},{"issue":"1","key":"14613_CR146","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1007\/s11042-018-5749-3","volume":"78","author":"S Song","year":"2019","unstructured":"Song S, Huang H, Ruan T (2019) Abstractive text summarization using LSTM-CNN based deep learning. Multimed Tools Appl 78(1):857\u2013875. https:\/\/doi.org\/10.1007\/s11042-018-5749-3","journal-title":"Multimed Tools Appl"},{"key":"14613_CR147","doi-asserted-by":"publisher","unstructured":"Sreelakshmi PR, Manmadhan S (2021) Image summarization using unsupervised learning. In 2021 7th international conference on advanced computing and communication systems (ICACCS) (Vol. 1, pp. 100-103). IEEE. https:\/\/doi.org\/10.1109\/ICACCS51430.2021.9441682","DOI":"10.1109\/ICACCS51430.2021.9441682"},{"issue":"7","key":"14613_CR148","doi-asserted-by":"publisher","first-page":"11273","DOI":"10.1007\/s11042-020-10176-1","volume":"80","author":"AK Srivastava","year":"2021","unstructured":"Srivastava AK, Pandey D, Agarwal A (2021) Extractive multi-document text summarization using dolphin swarm optimization approach. Multimed Tools Appl 80(7):11273\u201311290. https:\/\/doi.org\/10.1007\/s11042-020-10176-1","journal-title":"Multimed Tools Appl"},{"key":"14613_CR149","doi-asserted-by":"publisher","first-page":"108636","DOI":"10.1016\/j.knosys.2022.108636","volume":"246","author":"R Srivastava","year":"2022","unstructured":"Srivastava R, Singh P, Rana KPS, Kumar V (2022) A topic modeled unsupervised approach to single document extractive text summarization. Knowl-Based Syst 246:108636. https:\/\/doi.org\/10.1016\/j.knosys.2022.108636","journal-title":"Knowl-Based Syst"},{"issue":"2","key":"14613_CR150","first-page":"251","volume":"28","author":"J Steinberger","year":"2009","unstructured":"Steinberger J (2009) Evaluation measures for text summarization. Comput Inf 28(2):251\u2013275 http:\/\/147.213.75.17\/ojs\/index.php\/cai\/article\/view\/37","journal-title":"Comput Inf"},{"issue":"93-100","key":"14613_CR151","first-page":"8","volume":"4","author":"J Steinberger","year":"2004","unstructured":"Steinberger J, Jezek K (2004) Using latent semantic analysis in text summarization and summary evaluation. Proc ISIM 4(93-100):8","journal-title":"Proc ISIM"},{"key":"14613_CR152","doi-asserted-by":"publisher","unstructured":"Suleman RM, Korkontzelos I (2020) Managing the syntactic blindness of latent semantic analysis. In CS & IT conference proceedings (Vol. 10, no. 4). CS & IT conference proceedings. https:\/\/doi.org\/10.5121\/csit.2020.100401","DOI":"10.5121\/csit.2020.100401"},{"key":"14613_CR153","doi-asserted-by":"publisher","first-page":"114130","DOI":"10.1016\/j.eswa.2020.114130","volume":"165","author":"RM Suleman","year":"2021","unstructured":"Suleman RM, Korkontzelos I (2021) Extending latent semantic analysis to manage its syntactic blindness. Expert Syst Appl 165:114130. https:\/\/doi.org\/10.1016\/j.eswa.2020.114130","journal-title":"Expert Syst Appl"},{"key":"14613_CR154","unstructured":"Tarnpradab S, Liu F, Hua KA (2017) Toward extractive summarization of online forum discussions via hierarchical attention networks. Thirtieth Int Flairs Conf, 288-292. https:\/\/www.aaai.org\/ocs\/index.php\/FLAIRS\/FLAIRS17\/paper\/view\/15500"},{"issue":"3","key":"14613_CR155","doi-asserted-by":"publisher","first-page":"102474","DOI":"10.1016\/j.ipm.2020.102474","volume":"58","author":"HK Thakkar","year":"2021","unstructured":"Thakkar HK, Sahoo PK, Mohanty P (2021) DOFM: domain feature miner for robust extractive summarization. Inf Process Manag 58(3):102474. https:\/\/doi.org\/10.1016\/j.ipm.2020.102474","journal-title":"Inf Process Manag"},{"key":"14613_CR156","doi-asserted-by":"publisher","unstructured":"Thu HNT, Huu QN, Ngoc TNT (2013) A supervised learning method combine with dimensionality reduction in Vietnamese text summarization. In 2013 computing, communications and IT applications conference (ComComAp) (pp. 69-73). IEEE. https:\/\/doi.org\/10.1109\/ComComAp.2013.6533611","DOI":"10.1109\/ComComAp.2013.6533611"},{"issue":"3","key":"14613_CR157","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.eij.2019.12.002","volume":"21","author":"T U\u00e7kan","year":"2020","unstructured":"U\u00e7kan T, Karc\u0131 A (2020) Extractive multi-document text summarization based on graph independent sets. Egypt Inf J 21(3):145\u2013157. https:\/\/doi.org\/10.1016\/j.eij.2019.12.002","journal-title":"Egypt Inf J"},{"key":"14613_CR158","doi-asserted-by":"publisher","unstructured":"Vale R, Lins RD, Ferreira R (2020) An assessment of sentence simplification methods in extractive text summarization. In proceedings of the ACM symposium on document engineering 2020 (pp. 1-9). https:\/\/doi.org\/10.1145\/3395027.3419588","DOI":"10.1145\/3395027.3419588"},{"issue":"4","key":"14613_CR159","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.1016\/j.ipm.2019.03.003","volume":"56","author":"H Van Lierde","year":"2019","unstructured":"Van Lierde H, Chow TW (2019) Query-oriented text summarization based on hypergraph transversals. Inf Process Manag 56(4):1317\u20131338. https:\/\/doi.org\/10.1016\/j.ipm.2019.03.003","journal-title":"Inf Process Manag"},{"key":"14613_CR160","doi-asserted-by":"publisher","first-page":"108670","DOI":"10.1016\/j.asoc.2022.108670","volume":"120","author":"P Verma","year":"2022","unstructured":"Verma P, Verma A, Pal S (2022) An approach for extractive text summarization using fuzzy evolutionary and clustering algorithms. Appl Soft Comput 120:108670. https:\/\/doi.org\/10.1016\/j.asoc.2022.108670","journal-title":"Appl Soft Comput"},{"issue":"3","key":"14613_CR161","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1993077.1993078","volume":"5","author":"D Wang","year":"2011","unstructured":"Wang D, Zhu S, Li T, Chi Y, Gong Y (2011) Integrating document clustering and multi-document summarization. ACM Trans Knowl Discov Data (TKDD) 5(3):1\u201326. https:\/\/doi.org\/10.1145\/1993077.1993078","journal-title":"ACM Trans Knowl Discov Data (TKDD)"},{"key":"14613_CR162","doi-asserted-by":"publisher","unstructured":"Wang S, Zhao X, Li B, Ge B, Tang D (2017) Integrating extractive and abstractive models for long text summarization. In 2017 IEEE international congress on big data (BigData congress) (pp. 305-312). IEEE. https:\/\/doi.org\/10.1109\/BigDataCongress.2017.46","DOI":"10.1109\/BigDataCongress.2017.46"},{"issue":"45","key":"14613_CR163","doi-asserted-by":"publisher","first-page":"33875","DOI":"10.1007\/s11042-020-08690-3","volume":"79","author":"X Wang","year":"2020","unstructured":"Wang X, Nie X, Liu X, Wang B, Yin Y (2020) Modality correlation-based video summarization. Multimed Tools Appl 79(45):33875\u201333890. https:\/\/doi.org\/10.1007\/s11042-020-08690-3","journal-title":"Multimed Tools Appl"},{"key":"14613_CR164","doi-asserted-by":"publisher","unstructured":"Wang D, Liu P, Zheng Y, Qiu X, Huang X (2020) Heterogeneous graph neural networks for extractive document summarization. arXiv preprint arXiv:2004.12393. https:\/\/doi.org\/10.48550\/arXiv.2004.12393","DOI":"10.48550\/arXiv.2004.12393"},{"key":"14613_CR165","doi-asserted-by":"publisher","unstructured":"Wu K, Shi P, Pan D (2015) An approach to automatic summarization for chinese text based on the combination of spectral clustering and LexRank. In 2015 12th international conference on fuzzy systems and knowledge discovery (FSKD) (pp. 1350-1354). IEEE. https:\/\/doi.org\/10.1109\/FSKD.2015.7382140","DOI":"10.1109\/FSKD.2015.7382140"},{"key":"14613_CR166","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.eswa.2017.04.054","volume":"84","author":"Z Wu","year":"2017","unstructured":"Wu Z, Lei L, Li G, Huang H, Zheng C, Chen E, Xu G (2017) A topic modeling-based approach to novel document automatic summarization. Expert Syst Appl 84:12\u201323. https:\/\/doi.org\/10.1016\/j.eswa.2017.04.054","journal-title":"Expert Syst Appl"},{"key":"14613_CR167","doi-asserted-by":"publisher","unstructured":"Wu M, Pan S, Zhou C, Chang X, Zhu X (2020) Unsupervised domain adaptive graph convolutional networks. In proceedings of the web conference 2020 (pp. 1457-1467). https:\/\/doi.org\/10.1145\/3366423.3380219","DOI":"10.1145\/3366423.3380219"},{"key":"14613_CR168","doi-asserted-by":"publisher","unstructured":"Xu J, Durrett G (2019) Neural extractive text summarization with syntactic compression. arXiv preprint arXiv:1902.00863. https:\/\/doi.org\/10.48550\/arXiv.1902.00863","DOI":"10.48550\/arXiv.1902.00863"},{"key":"14613_CR169","doi-asserted-by":"publisher","unstructured":"Yadav J, Meena YK (2016) Use of fuzzy logic and WordNet for improving performance of extractive automatic text summarization. In 2016 international conference on advances in computing, communications and informatics (ICACCI) (pp. 2071-2077). IEEE. https:\/\/doi.org\/10.1109\/ICACCI.2016.7732356","DOI":"10.1109\/ICACCI.2016.7732356"},{"key":"14613_CR170","doi-asserted-by":"publisher","unstructured":"Yadav AK, Saxena S (2016) A new conception of information requisition in web of things. Indian journal of science and technology, 9(44). https:\/\/doi.org\/10.17485\/ijst\/2016\/v9i44\/105143","DOI":"10.17485\/ijst\/2016\/v9i44\/105143"},{"key":"14613_CR171","doi-asserted-by":"publisher","unstructured":"Yadav H, Ghosh S, Yu Y, Shah RR (2020) End-to-end named entity recognition from English speech. arXivpreprintarXiv:2005.11184. https:\/\/doi.org\/10.48550\/arXiv.2005.11184","DOI":"10.48550\/arXiv.2005.11184"},{"key":"14613_CR172","doi-asserted-by":"publisher","unstructured":"Yadav AK, Maurya AK, Yadav RS (2021) Extractive text summarization using recent approaches: a survey. Ing\u00e9nierie des Syst\u00e8mes d'Information, 26(1). https:\/\/doi.org\/10.18280\/isi.260112","DOI":"10.18280\/isi.260112"},{"issue":"6","key":"14613_CR173","doi-asserted-by":"publisher","first-page":"1643","DOI":"10.1016\/j.ipm.2007.03.010","volume":"43","author":"S Ye","year":"2007","unstructured":"Ye S, Chua TS, Kan MY, Qiu L (2007) Document concept lattice for text understanding and summarization. Inf Process Manag 43(6):1643\u20131662. https:\/\/doi.org\/10.1016\/j.ipm.2007.03.010","journal-title":"Inf Process Manag"},{"key":"14613_CR174","doi-asserted-by":"crossref","unstructured":"Yogatama D, Liu F, Smith NA (2015) Extractive summarization by maximizing semantic volume. In proceedings of the 2015 conference on empirical methods in natural language processing (pp. 1961-1966). https:\/\/aclanthology.org\/D15-1228.pdf","DOI":"10.18653\/v1\/D15-1228"},{"key":"14613_CR175","doi-asserted-by":"publisher","unstructured":"Yu W, Lin X, Zhang W (2013) Towards efficient SimRank computation on large networks. In 2013 IEEE 29th international conference on data engineering (ICDE) (pp. 601-612). IEEE. https:\/\/doi.org\/10.1109\/ICDE.2013.6544859","DOI":"10.1109\/ICDE.2013.6544859"},{"issue":"4","key":"14613_CR176","doi-asserted-by":"publisher","first-page":"1600","DOI":"10.1016\/j.ipm.2007.09.007","volume":"44","author":"DM Zajic","year":"2008","unstructured":"Zajic DM, Dorr BJ, Lin J (2008) Single-document and multi-document summarization techniques for email threads using sentence compression. Inf Process Manag 44(4):1600\u20131610. https:\/\/doi.org\/10.1016\/j.ipm.2007.09.007","journal-title":"Inf Process Manag"},{"key":"14613_CR177","doi-asserted-by":"publisher","unstructured":"Zhang K, Xiao Y, Tong H, Wang H, Wang W (2014) WiiCluster: a platform for wikipedia infobox generation. In proceedings of the 23rd ACM international conference on conference on information and knowledge management (pp. 2033-2035). https:\/\/doi.org\/10.1145\/2661829.2661840","DOI":"10.1145\/2661829.2661840"},{"key":"14613_CR178","doi-asserted-by":"publisher","unstructured":"Zopf M, Botschen T, Falke T, Heinzerling B, Marasovic A, Mihaylov T, Frank A (2018) What\u2019s important in a text? An extensive evaluation of linguistic annotations for summarization. In 2018 fifth international conference on social networks analysis, management and security (SNAMS) (pp. 272-277). IEEE. https:\/\/doi.org\/10.1109\/SNAMS.2018.8554853","DOI":"10.1109\/SNAMS.2018.8554853"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14613-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-14613-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14613-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T11:30:06Z","timestamp":1728905406000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-14613-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,16]]},"references-count":178,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["14613"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-14613-9","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,16]]},"assertion":[{"value":"1 November 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 June 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 February 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest in this manuscript.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}