{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:16:02Z","timestamp":1742994962093,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031077494"},{"type":"electronic","value":"9783031077500"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-07750-0_24","type":"book-chapter","created":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T14:23:03Z","timestamp":1654870983000},"page":"255-265","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-document Text Summarization Based on Genetic Algorithm and the Relevance of Sentence Features"],"prefix":"10.1007","author":[{"given":"Ver\u00f3nica","family":"Neri-Mendoza","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0766-542X","authenticated-orcid":false,"given":"Yulia","family":"Ledeneva","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7941-377X","authenticated-orcid":false,"given":"Ren\u00e9 Arnulfo","family":"Garc\u00eda-Hern\u00e1ndez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2811-0813","authenticated-orcid":false,"given":"\u00c1ngel","family":"Hern\u00e1ndez-Casta\u00f1eda","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,11]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Gao, S., Chen, X., Ren, Z., Zhao, D., Yan, R.: From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information (2020)","DOI":"10.24963\/ijcai.2020\/676"},{"key":"24_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1007\/978-3-030-05366-6_17","volume-title":"Distributed Computing and Internet Technology","author":"RK Roul","year":"2019","unstructured":"Roul, R.K., Mehrotra, S., Pungaliya, Y., Sahoo, J.K.: A new automatic multi-document text summarization using topic modeling. In: Fahrnberger, G., Gopinathan, S., Parida, L. (eds.) ICDCIT 2019. LNCS, vol. 11319, pp. 212\u2013221. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-05366-6_17"},{"key":"24_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113679","author":"WS El-Kassas","year":"2021","unstructured":"El-Kassas, W.S., Salama, C.R., Rafea, A.A., Mohamed, H.K.: Automatic text summarization: a comprehensive survey (2021). https:\/\/doi.org\/10.1016\/j.eswa.2020.113679","journal-title":"Automatic text summarization: a comprehensive survey"},{"key":"24_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1007\/978-3-642-38989-4_38","volume-title":"Pattern Recognition","author":"RA Garc\u00eda-Hern\u00e1ndez","year":"2013","unstructured":"Garc\u00eda-Hern\u00e1ndez, R.A., Ledeneva, Y.: Single extractive text summarization based on a genetic algorithm. In: Carrasco-Ochoa, J.A., Mart\u00ednez-Trinidad, J.F., Rodr\u00edguez, J.S., di Baja, G.S. (eds.) MCPR 2013. LNCS, vol. 7914, pp. 374\u2013383. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-38989-4_38"},{"key":"24_CR5","doi-asserted-by":"publisher","first-page":"2421","DOI":"10.3233\/JIFS-179902","volume":"39","author":"GAM Mendoza","year":"2020","unstructured":"Mendoza, G.A.M., Ledeneva, Y., Garc\u00eda-Hern\u00e1ndez, R.A.: Determining the importance of sentence position for automatic text summarization. J. Intell. Fuzzy Syst. 39, 2421\u20132431 (2020). https:\/\/doi.org\/10.3233\/JIFS-179902","journal-title":"J. Intell. Fuzzy Syst."},{"key":"24_CR6","doi-asserted-by":"publisher","first-page":"1506","DOI":"10.1016\/J.IPM.2007.01.019","volume":"43","author":"P Over","year":"2007","unstructured":"Over, P., Dang, H.: DUC in context. Inf. Process. Manag. 43, 1506\u20131520 (2007). https:\/\/doi.org\/10.1016\/J.IPM.2007.01.019","journal-title":"Inf. Process. Manag."},{"key":"24_CR7","unstructured":"NIST (National Institute of Standars and Technology: TAC 2008 Summarization Track. https:\/\/tac.nist.gov\/2008\/summarization\/. Accessed 20 July 2020"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Fabbri, A.R., Li, I., She, T., Li, S., Radev, D.R.: Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model (2019)","DOI":"10.18653\/v1\/P19-1102"},{"key":"24_CR9","doi-asserted-by":"publisher","unstructured":"Lins, R.D., et al.: The CNN-Corpus: A large textual corpus for single-document extractive summarization. In: Proceedings of the ACM Symposium on Document Engineering, DocEng 2019, pp. 1\u201310. Association for Computing Machinery, Inc, New York, New York, USA (2019). https:\/\/doi.org\/10.1145\/3342558.3345388","DOI":"10.1145\/3342558.3345388"},{"key":"24_CR10","unstructured":"Matias, G., Ledeneva, Y., Garc\u00eda, R.: Detecci\u00f3n de ideas principales y composici\u00f3n de res\u00famenes en ingl\u00e9s, espa\u00f1ol, portugu\u00e9s y ruso. 60 a\u00f1os de investigaci\u00f3n. Alfaomega Grupo Editor, S.A. de C.V (2020)"},{"key":"24_CR11","doi-asserted-by":"publisher","unstructured":"Ma, C., Zhang, W.E., Guo, M., Wang, H., Sheng, Q.Z.: Multi-document Summarization via Deep Learning Techniques: A Survey (2020). https:\/\/doi.org\/10.1145\/nnnnnnn.nnnnnnn","DOI":"10.1145\/nnnnnnn.nnnnnnn"},{"issue":"3","key":"24_CR12","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1007\/s11390-020-0207-x","volume":"36","author":"S-L Hou","year":"2021","unstructured":"Hou, S.-L., et al.: A survey of text summarization approaches based on deep learning. J. Comput. Sci. Technol. 36(3), 633\u2013663 (2021). https:\/\/doi.org\/10.1007\/s11390-020-0207-x","journal-title":"J. Comput. Sci. Technol."},{"key":"24_CR13","unstructured":"Ledeneva, Y., Garc\u00eda-Hern\u00e1ndez, R.A.: Generaci\u00f3n autom\u00e1tica de res\u00famenes Retos, propuestas y experimentos. Universidad Aut\u00f3noma del Estado de M\u00e9xico (2017)"},{"key":"24_CR14","doi-asserted-by":"publisher","first-page":"353","DOI":"10.3233\/JIFS-169594","volume":"35","author":"E V\u00e1zquez","year":"2018","unstructured":"V\u00e1zquez, E., Garc\u00eda-Hern\u00e1ndez, R.A., Ledeneva, Y.: Sentence features relevance for extractive text summarization using genetic algorithms. J. Intell. Fuzzy Syst. 35, 353\u2013365 (2018). https:\/\/doi.org\/10.3233\/JIFS-169594","journal-title":"J. Intell. Fuzzy Syst."},{"key":"24_CR15","doi-asserted-by":"publisher","first-page":"2397","DOI":"10.3233\/JIFS-179900","volume":"39","author":"V Neri-Mendoza","year":"2020","unstructured":"Neri-Mendoza, V., Ledeneva, Y., Garc\u00eda-Hern\u00e1ndez, R.A.: Unsupervised extractive multi-document text summarization using a genetic algorithm. J. Intell. Fuzzy Syst. 39, 2397\u20132408 (2020). https:\/\/doi.org\/10.3233\/JIFS-179900","journal-title":"J. Intell. Fuzzy Syst."},{"key":"24_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1007\/978-3-030-21077-9_39","volume-title":"Pattern Recognition","author":"V Neri Mendoza","year":"2019","unstructured":"Neri Mendoza, V., Ledeneva, Y., Garc\u00eda-Hern\u00e1ndez, R.A.: Abstractive multi-document text summarization using a genetic algorithm. In: Carrasco-Ochoa, J.A., Mart\u00ednez-Trinidad, J.F., Olvera-L\u00f3pez, J.A., Salas, J. (eds.) MCPR 2019. LNCS, vol. 11524, pp. 422\u2013432. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21077-9_39"},{"key":"24_CR17","unstructured":"Sastry, K., Goldberg, D., Kendall, G.: Chapter 4 Genetic Algorithms. (2005)"},{"key":"24_CR18","doi-asserted-by":"publisher","unstructured":"Du, K.L., Swamy, M.N.S.: Search and optimization by metaheuristics: techniques and algorithms inspired by nature (2016). https:\/\/doi.org\/10.1007\/978-3-319-41192-7","DOI":"10.1007\/978-3-319-41192-7"},{"key":"24_CR19","unstructured":"Borges, J.L.: La doctrina de los ciclos (2013)"},{"key":"24_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/J.ESWA.2020.113827","volume":"167","author":"J Rojas-Sim\u00f3n","year":"2021","unstructured":"Rojas-Sim\u00f3n, J., Ledeneva, Y., Garc\u00eda-Hern\u00e1ndez, R.A.: Evaluation of text summaries without human references based on the linear optimization of content metrics using a genetic algorithm. Expert Syst. Appl. 167, 113827 (2021). https:\/\/doi.org\/10.1016\/J.ESWA.2020.113827","journal-title":"Expert Syst. Appl."},{"key":"24_CR21","unstructured":"Lin, C.-Y.: ROUGE: A Package for Automatic Evaluation of Summaries (2004)"},{"key":"24_CR22","unstructured":"Boros, E., Kantor, P.B., Neu, D.J.: A Clustering Based Approach to Creating Multi-Document Summaries (2001)"},{"key":"24_CR23","doi-asserted-by":"publisher","unstructured":"Lin, C.-Y., Hovy, E.: From single to multi-document summarization. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL 2002, p. 457 (2002). https:\/\/doi.org\/10.3115\/1073083.1073160","DOI":"10.3115\/1073083.1073160"},{"key":"24_CR24","doi-asserted-by":"publisher","unstructured":"Wang, D., Zhu, S., Li, T., Gong, Y.: Multi-document summarization using sentence-based topic models. In: ACL and AFNLP, p. 297 (2010). https:\/\/doi.org\/10.3115\/1667583.1667675","DOI":"10.3115\/1667583.1667675"},{"key":"24_CR25","doi-asserted-by":"publisher","unstructured":"Rojas Sim\u00f3n, J., Ledeneva, Y., Garc\u00eda Hern\u00e1ndez, R.A.: Calculating the Upper Bounds for Multi-Document Summarization using Genetic Algorithms. Comput. y Sist. 22 (2018) https:\/\/doi.org\/10.13053\/cys-22-1-2903","DOI":"10.13053\/cys-22-1-2903"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-07750-0_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T14:28:04Z","timestamp":1654871284000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-07750-0_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031077494","9783031077500"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-07750-0_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"11 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MCPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ciudad Ju\u00e1rez","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mcpr22022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ccc.inaoep.mx\/~mcpr\/index.html#","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.75","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.66","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}