{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T20:35:53Z","timestamp":1776285353004,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789811958670","type":"print"},{"value":"9789811958687","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-19-5868-7_48","type":"book-chapter","created":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T07:49:15Z","timestamp":1672559355000},"page":"659-669","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Comparative Study of Abstractive Summarizers (Sequence2Sequence Models)"],"prefix":"10.1007","author":[{"given":"Vijay","family":"Karunakaran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manoj","family":"Das","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,1]]},"reference":[{"key":"48_CR1","doi-asserted-by":"publisher","unstructured":"Abualigah L, Bashabsheh MQ, Alabool H, Shehab M (2020) Text summarization: a brief review. https:\/\/doi.org\/10.1007\/978-3-030-34614-0_1","DOI":"10.1007\/978-3-030-34614-0_1"},{"key":"48_CR2","doi-asserted-by":"publisher","unstructured":"Al-Taani AT (2017) Automatic text summarization approaches. In: 2017 international conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), pp 93\u201394. https:\/\/doi.org\/10.1109\/ICTUS.2017.8285983","DOI":"10.1109\/ICTUS.2017.8285983"},{"key":"48_CR3","unstructured":"Babar S, Tech-Cse M (2013) Rit. Text summarization: an overview"},{"key":"48_CR4","doi-asserted-by":"crossref","unstructured":"Mihalcea R (2004) Graph-based ranking algorithms for sentence extraction, applied to text summarization. In: ACL","DOI":"10.3115\/1219044.1219064"},{"key":"48_CR5","unstructured":"Mihalcea R, Tarau P (2004) TextRank: bringing order into text. EMNLP"},{"key":"48_CR6","first-page":"107","volume":"30","author":"S Brin","year":"1998","unstructured":"Brin S, Page L (1998) The anatomy of a large-scale hypertextual web search engine. Comput Netw 30:107\u2013117","journal-title":"Comput Netw"},{"key":"48_CR7","doi-asserted-by":"crossref","unstructured":"Camacho-Collados J, Pilevar MT (2017) On the role of text preprocessing in neural network architectures: an evaluation study on text categorization and sentiment analysis","DOI":"10.18653\/v1\/W18-5406"},{"key":"48_CR8","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.ipm.2013.08.006","volume":"50","author":"AK Uysal","year":"2014","unstructured":"Uysal AK, Gunal Serkan (2014) The impact of preprocessing on text classification. Inf Process Manag 50:104\u2013112. https:\/\/doi.org\/10.1016\/j.ipm.2013.08.006","journal-title":"Inf Process Manag"},{"key":"48_CR9","unstructured":"Mikolov T, Sutskever I, Chen K, Corrado GS, Dean J (2013) Distributed representations of words and phrases and their compositionality. Adv Neural Inf Process Syst 26"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Carenini G, Cheung JCK (2008) Extractive vs. NLG-based abstractive summarization of evaluative text: the effect of corpus controversiality","DOI":"10.3115\/1708322.1708330"},{"key":"48_CR11","doi-asserted-by":"publisher","unstructured":"Shi T, Keneshloo Y, Ramakrishnan N, Reddy CK (2021) Neural abstractive text summarization with sequence-to-sequence models. ACM\/IMS Trans Data Sci 2(1), Article 1:37. https:\/\/doi.org\/10.1145\/3419106","DOI":"10.1145\/3419106"},{"key":"48_CR12","doi-asserted-by":"publisher","unstructured":"Suleiman D, Awajan A (2020) Deep learning based abstractive text summarization: approaches, datasets, evaluation measures, and challenges, mathematical problems in engineering. 2020(Article ID 9365340):29. https:\/\/doi.org\/10.1155\/2020\/9365340","DOI":"10.1155\/2020\/9365340"},{"key":"48_CR13","doi-asserted-by":"publisher","unstructured":"Loper E, Bird S (2002) NLTK: the natural language toolkit. CoRR. cs.CL\/0205028. https:\/\/doi.org\/10.3115\/1118108.1118117","DOI":"10.3115\/1118108.1118117"},{"key":"48_CR14","unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. In: Proceedings of workshop at ICLR"},{"key":"48_CR15","doi-asserted-by":"publisher","unstructured":"Wang H, Zeng D (2020) Fusing logical relationship information of text in neural network for text classification. Math Prob Eng 2020, Article ID 5426795:16. https:\/\/doi.org\/10.1155\/2020\/5426795","DOI":"10.1155\/2020\/5426795"},{"key":"48_CR16","doi-asserted-by":"crossref","unstructured":"Graves A (2013) Generating sequences with recurrent neural networks","DOI":"10.1007\/978-3-642-24797-2"},{"key":"48_CR17","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9:1735\u201380. https:\/\/doi.org\/10.1162\/neco.1997.9.8.1735","journal-title":"Neural Comput"},{"key":"48_CR18","unstructured":"Vinyals O, Bengio S, Kudlur M (2015) Order matters: sequence to sequence for sets"},{"key":"48_CR19","unstructured":"Lopyrev K (2015) Generating news headlines with recurrent neural networks"},{"key":"48_CR20","doi-asserted-by":"publisher","unstructured":"Chopra S, Auli M, Rush AM (2016) Abstractive sentence summarization with attentive recurrent neural networks, pp 93\u201398. https:\/\/doi.org\/10.18653\/v1\/N16-1012","DOI":"10.18653\/v1\/N16-1012"},{"key":"48_CR21","unstructured":"Lin C-Y (2004) ROUGE: a package for automatic evaluation of summaries. In: Proceedings of the ACL workshop: text summarization braches out 2004:10"},{"key":"48_CR22","doi-asserted-by":"publisher","unstructured":"( Graham Y (2015) Re-evaluating automatic summarization with BLEU and 192 shades of ROUGE (pp 128\u2013137). https:\/\/doi.org\/10.18653\/v1\/D15-1013","DOI":"10.18653\/v1\/D15-1013"},{"key":"48_CR23","doi-asserted-by":"crossref","unstructured":"Keneshloo Y, Ramakrishnan N, Reddy CK (2018) Deep transfer reinforcement learning for text summarization","DOI":"10.1137\/1.9781611975673.76"}],"container-title":["Lecture Notes in Electrical Engineering","Machine Learning, Image Processing, Network Security and Data Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-19-5868-7_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T08:47:33Z","timestamp":1672562853000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-19-5868-7_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789811958670","9789811958687"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-19-5868-7_48","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"value":"1876-1100","type":"print"},{"value":"1876-1119","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 January 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}