{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:28:29Z","timestamp":1761294509258},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,8,24]],"date-time":"2022-08-24T00:00:00Z","timestamp":1661299200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,8,24]],"date-time":"2022-08-24T00:00:00Z","timestamp":1661299200000},"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":["Lang Resources & Evaluation"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s10579-022-09608-1","type":"journal-article","created":{"date-parts":[[2022,8,24]],"date-time":"2022-08-24T07:10:28Z","timestamp":1661325028000},"page":"1195-1227","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Redundancy and coverage aware enriched dragonfly-FL single document summarization"],"prefix":"10.1007","volume":"56","author":[{"given":"Atul Kumar","family":"Srivastava","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dhiraj","family":"Pandey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alok","family":"Agarwal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,24]]},"reference":[{"key":"9608_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116158","volume":"191","author":"L Abualigah","year":"2022","unstructured":"Abualigah, L., Abd Elaziz, M., Sumari, P., Geem, Z. W., & Gandomi, A. H. (2022). Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer. Expert Systems with Applications., 191, 116158.","journal-title":"Expert Systems with Applications."},{"key":"9608_CR2","doi-asserted-by":"crossref","unstructured":"Abualigah, L., Bashabsheh, M. Q., Alabool, H., & Shehab, M. (2020). Text summarization: A brief review. Recent Advances in NLP: The Case of Arabic Language (pp. 1\u201315).","DOI":"10.1007\/978-3-030-34614-0_1"},{"key":"9608_CR3","doi-asserted-by":"publisher","first-page":"107250","DOI":"10.1016\/j.cie.2021.107250","volume":"157","author":"L Abualigah","year":"2021","unstructured":"Abualigah, L., Yousri, D., Abd Elaziz, M., Ewees, A. A., Al-Qaness, M. A., & Gandomi, A. H. (2021). Aquila optimizer: a novel meta-heuristic optimization algorithm. Computers & Industrial Engineering, 157, 107250.","journal-title":"Computers & Industrial Engineering"},{"key":"9608_CR4","doi-asserted-by":"crossref","unstructured":"Abujar, S., Hasan, M., & Hossain, S. (2019). A Sentence similarity estimation for text summarization using deep learning. In Proceedings of the 2nd International Conference on Data Engineering and Communication Technology (pp. 155\u2013164).","DOI":"10.1007\/978-981-13-1610-4_16"},{"key":"9608_CR5","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1016\/j.procs.2019.09.017","volume":"157","author":"R Adelia","year":"2019","unstructured":"Adelia, R., Suyanto, S., & Wisesty, U. N. (2019). Indonesian abstractive text summarization using bidirectional gated recurrent unit. Procedia Computer Science, 157, 581\u2013588.","journal-title":"Procedia Computer Science"},{"key":"9608_CR6","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 Systems with Applications, 123, 195\u2013211.","journal-title":"Expert Systems with Applications"},{"issue":"6","key":"9608_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102341","volume":"57","author":"M Bidoki","year":"2020","unstructured":"Bidoki, M., Moosavi, M. R., & Fakhrahmad, M. (2020). A semantic approach to extractive multi-document summarization: Applying sentence expansion for tuning of conceptual densities. Information Processing & Management., 57(6), 102341.","journal-title":"Information Processing & Management."},{"key":"9608_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113659","volume":"160","author":"L Cagliero","year":"2020","unstructured":"Cagliero, L., & La Quatra, M. (2020). Extracting highlights of scientific articles: A supervised summarization approach. Expert Systems with Applications, 160, 113659.","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"9608_CR9","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. Arabian Journal for Science and Engineering., 46(4), 3925\u20133938.","journal-title":"Arabian Journal for Science and Engineering."},{"issue":"15","key":"9608_CR10","doi-asserted-by":"publisher","first-page":"11491","DOI":"10.1007\/s00521-019-04638-3","volume":"32","author":"Y Diao","year":"2020","unstructured":"Diao, Y., Lin, H., Yang, L., Fan, X., Chu, Y., Wu, D., & Xu, K. (2020). CRHASum: Extractive text summarization with contextualized-representation hierarchical-attention summarization network. Neural Computing and Applications, 32(15), 11491\u201311503.","journal-title":"Neural Computing and Applications"},{"issue":"5","key":"9608_CR11","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, O. B. (2020). Automatic Arabic Text Summarization Using Analogical Proportions. Cognitive Computation, 12(5), 1043\u20131069.","journal-title":"Cognitive Computation"},{"issue":"3","key":"9608_CR12","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s12525-016-0233-2","volume":"27","author":"CP Furner","year":"2017","unstructured":"Furner, C. P., & Zinko, R. A. (2017). The influence of information overload on the development of trust and purchase intention based on online product reviews in a mobile vs. web environment: an empirical investigation. Electronic Markets, 27(3), 211\u2013224.","journal-title":"Electronic Markets"},{"issue":"1","key":"9608_CR13","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. Artificial Intelligence Review, 47(1), 1\u201366.","journal-title":"Artificial Intelligence Review"},{"key":"9608_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113392","volume":"152","author":"A Ghadimi","year":"2020","unstructured":"Ghadimi, A., & Beigy, H. (2020). Deep submodular network: An application to multi-document summarization. Expert Systems with Applications., 152, 113392.","journal-title":"Expert Systems with Applications."},{"key":"9608_CR15","doi-asserted-by":"publisher","first-page":"139084","DOI":"10.1109\/ACCESS.2020.3012539","volume":"8","author":"S Ghodratnama","year":"2020","unstructured":"Ghodratnama, S., Beheshti, A., Zakershahrak, M., & Sobhanmanesh, F. (2020). Extractive document summarization based on dynamic feature space mapping. IEEE Access, 8, 139084\u2013139095.","journal-title":"IEEE Access"},{"issue":"3","key":"9608_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102187","volume":"57","author":"C Hark","year":"2020","unstructured":"Hark, C., & Karc\u0131, A. (2020). Karc\u0131 summarization: A simple and effective approach for automatic text summarization using Karc\u0131 entropy. Information Processing Management, 57(3), 102187.","journal-title":"Information Processing Management"},{"key":"9608_CR17","doi-asserted-by":"crossref","unstructured":"Ishigaki, T., Kamigaito, H., Takamura, H., & Okumura, M. (2019). Discourse-aware hierarchical attention network for extractive single-document summarization. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) (pp. 497\u2013506).","DOI":"10.26615\/978-954-452-056-4_059"},{"key":"9608_CR18","doi-asserted-by":"crossref","unstructured":"Jin, H., & Wan, X. (2020) Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization. In Findings of the Association for Computational Linguistics: EMNLP (pp. 2545\u20132554).","DOI":"10.18653\/v1\/2020.findings-emnlp.231"},{"key":"9608_CR19","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 Systems with Applications, 129, 200\u2013215.","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"9608_CR20","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/s10462-017-9566-2","volume":"51","author":"A Kanapala","year":"2019","unstructured":"Kanapala, A., Pal, S., & Pamula, R. (2019). Text summarization from legal documents: A survey. Artificial Intelligence Review, 51(3), 371\u2013402.","journal-title":"Artificial Intelligence Review"},{"key":"9608_CR21","doi-asserted-by":"crossref","unstructured":"Krishnaveni, P., & Balasundaram, S. R. (2017). Automatic text summarization by local scoring and ranking for improving coherence. In 2017 International Conference on Computing Methodologies and Communication (ICCMC) (pp. 59\u201364).","DOI":"10.1109\/ICCMC.2017.8282539"},{"key":"9608_CR22","doi-asserted-by":"crossref","unstructured":"Lin, C. Y., & Hovy, E. (2003). Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of the 2003 Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (pp. 150\u2013157).","DOI":"10.3115\/1073445.1073465"},{"key":"9608_CR23","doi-asserted-by":"crossref","unstructured":"Liu, Y., Titov, I., & Lapata, M. (2019). Single document summarization as tree induction. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp. 1745\u20131755).","DOI":"10.18653\/v1\/N19-1173"},{"key":"9608_CR24","doi-asserted-by":"crossref","unstructured":"Mallick, C., Das, A. K., Dutta, M., Das, A. K., & Sarkar, A. (2019). Graph-based text summarization using modified TextRank. In Soft computing in data analytics (pp. 137\u2013146).","DOI":"10.1007\/978-981-13-0514-6_14"},{"key":"9608_CR25","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.eswa.2019.05.011","volume":"133","author":"X Mao","year":"2019","unstructured":"Mao, X., Yang, H., Huang, S., Liu, Y., & Li, R. (2019). Extractive summarization using supervised and unsupervised learning. Expert Systems with Applications, 133, 173\u2013181.","journal-title":"Expert Systems with Applications"},{"key":"9608_CR26","doi-asserted-by":"publisher","first-page":"50001","DOI":"10.1109\/ACCESS.2021.3067597","volume":"9","author":"Y Meraihi","year":"2021","unstructured":"Meraihi, Y., Gabis, A. B., Mirjalili, S., & Ramdane-Cherif, A. (2021). Grasshopper optimization algorithm: Theory, variants, and applications. IEEE Access., 9, 50001\u201350024.","journal-title":"IEEE Access."},{"key":"9608_CR27","first-page":"1","volume":"1","author":"SH Mirshojaee","year":"2020","unstructured":"Mirshojaee, S. H., Masoumi, B., & Zeinali, E. (2020). MAMHOA: A multi-agent meta-heuristic optimization algorithm with an approach for document summarization issues. Journal of Ambient Intelligence and Humanized Computing, 1, 1\u201316.","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"9608_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112958","volume":"143","author":"M Mohd","year":"2020","unstructured":"Mohd, M., Jan, R., & Shah, M. (2020). Text document summarization using word embedding. Expert Systems with Applications, 143, 112958.","journal-title":"Expert Systems with Applications"},{"key":"9608_CR29","doi-asserted-by":"crossref","unstructured":"Moratanch, N., & Chitrakala, S. (2017). A survey on extractive text summarization. In\u00a02017 international conference on computer, communication and signal processing (ICCCSP) (pp. 1\u20136).","DOI":"10.1109\/ICCCSP.2017.7944061"},{"issue":"6","key":"9608_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102088","volume":"56","author":"Z Nasar","year":"2019","unstructured":"Nasar, Z., Jaffry, S. W., & Malik, M. K. (2019). Textual keyword extraction and summarization: State-of-the-art. Information Processing Management, 56(6), 102088.","journal-title":"Information Processing Management"},{"key":"9608_CR31","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.eswa.2017.01.023","volume":"76","author":"MT Nguyen","year":"2017","unstructured":"Nguyen, M. T., & Nguyen, M. L. (2017). Intra-relation or inter-relation exploiting social information for web document summarization. Expert Systems with Applications, 76, 71\u201384.","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"9608_CR32","doi-asserted-by":"publisher","first-page":"3885","DOI":"10.1007\/s11042-020-09761-1","volume":"80","author":"AM Rinaldi","year":"2021","unstructured":"Rinaldi, A. M., & Russo, C. (2021). Using a multimedia semantic graph for web document visualization and summarization. Multimedia Tools and Applications, 80(3), 3885\u20133925.","journal-title":"Multimedia Tools and Applications"},{"key":"9608_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106231","volume":"91","author":"JM Sanchez-Gomez","year":"2020","unstructured":"Sanchez-Gomez, J. M., Vega-Rodr\u00edguez, M. A., & P\u00e9rez, C. J. (2020). A decomposition-based multi-objective optimization approach for extractive multi-document text summarization. Applied Soft Computing, 91, 106231.","journal-title":"Applied Soft Computing"},{"issue":"1","key":"9608_CR34","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. Multimedia Tools and Applications, 78(1), 857\u2013875.","journal-title":"Multimedia Tools and Applications"},{"key":"9608_CR35","doi-asserted-by":"crossref","unstructured":"Sun, S., & Nenkova, A. (2019). The feasibility of embedding based automatic evaluation for single document summarization. InProceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP) (pp. 1216\u20131221).","DOI":"10.18653\/v1\/D19-1116"},{"issue":"4","key":"9608_CR36","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, T. W. (2019). Query-oriented text summarization based on hypergraph transversals. Information Processing Management, 56(4), 1317\u20131338.","journal-title":"Information Processing Management"},{"key":"9608_CR37","doi-asserted-by":"crossref","unstructured":"Verma, N.K., Singh, V., Rajurkar, S., Aqib, M. (2019). Fuzzy inference network with mamdani fuzzy inference system. In Computational Intelligence: Theories, Applications and Future Directions-Volume I. Springer, Singapore (pp. 375\u2013388).","DOI":"10.1007\/978-981-13-1132-1_29"},{"key":"9608_CR38","doi-asserted-by":"crossref","unstructured":"Vinod, P., Safar, S., Mathew, D., Venugopal, P., Joly, L. M., George, J. (2020). Fine-tuning the BERTSUMEXT model for Clinical Report Summarization. In 2020 International Conference for Emerging Technology (INCET) IEEE (pp. 1\u20137).","DOI":"10.1109\/INCET49848.2020.9154087"}],"container-title":["Language Resources and Evaluation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10579-022-09608-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10579-022-09608-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10579-022-09608-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T13:24:14Z","timestamp":1667222654000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10579-022-09608-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,24]]},"references-count":38,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["9608"],"URL":"https:\/\/doi.org\/10.1007\/s10579-022-09608-1","relation":{},"ISSN":["1574-020X","1574-0218"],"issn-type":[{"value":"1574-020X","type":"print"},{"value":"1574-0218","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,24]]},"assertion":[{"value":"25 July 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Authors declares that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants\u00a0and\/or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"There is no informed consent for this study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}