{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:48:02Z","timestamp":1743155282265,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031476396"},{"type":"electronic","value":"9783031476402"}],"license":[{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:00:00Z","timestamp":1699488000000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-47640-2_1","type":"book-chapter","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T06:01:56Z","timestamp":1699423316000},"page":"3-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Visualizing the\u00a0Cosmos: A Novel Method for\u00a0Text Recombination with\u00a0Space News"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0291-9938","authenticated-orcid":false,"given":"Zhalgas","family":"Zhiyenbekov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8425-5454","authenticated-orcid":false,"given":"Zhanar","family":"Omirbekova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1375-1343","authenticated-orcid":false,"given":"Galymkair","family":"Mutanov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6822-2780","authenticated-orcid":false,"given":"Madiyar","family":"Tasbolatov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,9]]},"reference":[{"issue":"2","key":"1_CR1","doi-asserted-by":"crossref","first-page":"533","DOI":"10.13053\/cys-24-2-3403","volume":"24","author":"FO Ramos","year":"2020","unstructured":"Ramos, F.O., Pinto, D.: Proposal for named entities recognition and classification (NERC) and the automatic generation of rules on Mexican news. Computaci\u00f3n y Sistemas 24(2), 533\u2013538 (2020)","journal-title":"Computaci\u00f3n y Sistemas"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Mi, C., Xie, L., Zhang, Y.: Improving data augmentation for low resource speech-to-text translation with diverse paraphrasing. Neural Netw., 194\u2013205 (2022)","DOI":"10.1016\/j.neunet.2022.01.016"},{"issue":"2","key":"1_CR3","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1007\/s11192-019-03218-5","volume":"121","author":"X Zhou","year":"2019","unstructured":"Zhou, X., Huang, L., Zhang, Y., Yu, M.: A hybrid approach to detecting technological recombination based on text mining and patent network analysis. Scientometrics 121(2), 699\u2013737 (2019). https:\/\/doi.org\/10.1007\/s11192-019-03218-5","journal-title":"Scientometrics"},{"issue":"2","key":"1_CR4","first-page":"429","volume":"24","author":"GR Gallardo","year":"2020","unstructured":"Gallardo, G.R., Beltr\u00e1n, B., Vilari\u00f1o, D., Zepeda, C., Mart\u00ednez, R.: Comparison of clustering algorithms in text clustering tasks. Computaci\u00f3n y Sistemas 24(2), 429\u2013437 (2020)","journal-title":"Computaci\u00f3n y Sistemas"},{"issue":"1","key":"1_CR5","doi-asserted-by":"publisher","first-page":"23","DOI":"10.13053\/cys-25-1-3897","volume":"25","author":"S Butt","year":"2021","unstructured":"Butt, S., Ashraf, N., Siddiqui, M.H.F., Sidorov, G., Gelbukh, A.: Transformer-based extractive social media question answering on TweetQA. Computaci\u00f3n y Sistemas 25(1), 23\u201332 (2021)","journal-title":"Computaci\u00f3n y Sistemas"},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"Qiu, L., Shaw, P., Pasupat, P., Nowak, P., Linzen, T., Sha, F., Toutanova, K.: Improving compositional generalization with latent structure and data augmentation. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 4341\u20134362 (2022)","DOI":"10.18653\/v1\/2022.naacl-main.323"},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Zhang, L., Yang, Z., Yang, D.: Compositional constituency-based data augmentation for natural language understanding. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics, pp. 5243\u20135258 (2022)","DOI":"10.18653\/v1\/2022.naacl-main.385"},{"issue":"3","key":"1_CR8","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1007\/s11390-020-0305-9","volume":"35","author":"F Fang","year":"2020","unstructured":"Fang, F., Luo, F., Zhang, H.-P., Zhou, H.-J., Chow, A.L.H., Xiao, C.-X.: A comprehensive pipeline for complex text-to-image synthesis. J. Comput. Sci. Technol. 35(3), 522\u2013537 (2020). https:\/\/doi.org\/10.1007\/s11390-020-0305-9","journal-title":"J. Comput. Sci. Technol."},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Lam, T.K., Schamoni, S., Riezler, S.: Leveraging audio alignments for data augmentation in end-to-end speech translation. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, pp. 245\u2013254 (2022)","DOI":"10.18653\/v1\/2022.acl-short.27"},{"key":"1_CR10","doi-asserted-by":"publisher","unstructured":"Zhai J., Guo Y., Zhang H., Ding J.: TextRank keyword extraction method weighted by multivariate quantitative indexes. In: 2022 4th International Conference on Applied Machine Learning (ICAML), pp. 151\u2013155. IEEE (2022). https:\/\/doi.org\/10.1109\/ICAML57167.2022.00036","DOI":"10.1109\/ICAML57167.2022.00036"},{"key":"1_CR11","doi-asserted-by":"publisher","unstructured":"Li, H: Multi-publisher news corpus construction via text recombination. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), vol. 12156, pp. 110\u2013118 (2021). https:\/\/doi.org\/10.1117\/12.2626538","DOI":"10.1117\/12.2626538"},{"key":"1_CR12","doi-asserted-by":"publisher","unstructured":"Liu, L., Ding, B., Bing, L., Joty, S., Si, L., Miao, C.: A multilingual data augmentation framework for low-resource cross-lingual NER. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, vol. 1: Long Papers, pp. 5834\u20135846 (2021). https:\/\/doi.org\/10.18653\/v1\/2021.acl-long.453","DOI":"10.18653\/v1\/2021.acl-long.453"},{"key":"1_CR13","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/j.neunet.2021.03.017","volume":"139","author":"G Begu\u0161","year":"2021","unstructured":"Begu\u0161, G.: CiwGAN and fiwGAN: encoding information in acoustic data to model lexical learning with generative adversarial networks. Neural Netw. 139, 305\u2013325 (2021). https:\/\/doi.org\/10.1016\/j.neunet.2021.03.017","journal-title":"Neural Netw."},{"key":"1_CR14","doi-asserted-by":"publisher","unstructured":"Zhang, X., Shi, S., Guo, Z., Chen, G., Wei, H., Tang, Y., Yu, L.: Controlled text style transfer via noise enhancement of deep learning transformer. In: International Conference on Neural Networks, Information, and Communication Engineering (NNICE), vol. 12258, pp. 63\u201369 (2022). https:\/\/doi.org\/10.1117\/12.2639492","DOI":"10.1117\/12.2639492"},{"key":"1_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1007\/978-3-030-50017-7_36","volume-title":"Human Interface and the Management of Information. Interacting with Information","author":"S-T Liu","year":"2020","unstructured":"Liu, S.-T., Hsu, S.-C., Huang, Y.-H.: Data paradigm shift in cross-media IoT system. In: Yamamoto, S., Mori, H. (eds.) HCII 2020. LNCS, vol. 12185, pp. 479\u2013490. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-50017-7_36"},{"key":"1_CR16","doi-asserted-by":"crossref","unstructured":"Sohn H., Park B.: Robust and informative text augmentation (RITA) via constrained worst-case transformations for low-resource named entity recognition. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1616\u20131624 (2022)","DOI":"10.1145\/3534678.3539349"},{"issue":"3","key":"1_CR17","doi-asserted-by":"publisher","first-page":"667","DOI":"10.13053\/cys-25-3-4028","volume":"25","author":"G Gimaletdinova","year":"2021","unstructured":"Gimaletdinova, G., Khalitova, L., Solovyev, V., Bochkarev, V.: Lexicographic study of synonymy: clarifying semantic similarity between words. Computaci\u00f3n y Sistemas 25(3), 667\u2013675 (2021)","journal-title":"Computaci\u00f3n y Sistemas"},{"issue":"2","key":"1_CR18","first-page":"1557","volume":"26","author":"O Pichardo-Lagunas","year":"2022","unstructured":"Pichardo-Lagunas, O., Martinez-Seis, B., Basurto-Carrillo, F.D.J.: Fern\u00e1ndez-Flores D: data integration for the evaluation of cancer evolution in Mexico through data visualization. Computaci\u00f3n y Sistemas 26(2), 1557\u20131567 (2022)","journal-title":"Computaci\u00f3n y Sistemas"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Sagingaliyev, B., Aitakhunova, Z., Shaimerdenova, A., Akhmetov, I., Pak, A., Jaxylykova, A: A bibliometric review of methods and algorithms for generating corpora for learning vector word embeddings. In: Mexican International Conference on Artificial Intelligence, pp. 148\u2013162 (2022)","DOI":"10.1007\/978-3-031-19496-2_12"}],"container-title":["Lecture Notes in Computer Science","Advances in Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-47640-2_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T00:08:08Z","timestamp":1699488488000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-47640-2_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,9]]},"ISBN":["9783031476396","9783031476402"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-47640-2_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,11,9]]},"assertion":[{"value":"9 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yucat\u00e1n","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.micai.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft's CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"115","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":"49","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":"43% - 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":"3","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","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}