{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T15:57:14Z","timestamp":1765382234919,"version":"3.37.3"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T00:00:00Z","timestamp":1591056000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T00:00:00Z","timestamp":1591056000000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1007\/s00521-020-05005-3","type":"journal-article","created":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T17:05:01Z","timestamp":1591117501000},"page":"1159-1170","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A two-step abstractive summarization model with asynchronous and enriched-information decoding"],"prefix":"10.1007","volume":"33","author":[{"given":"Shuaimin","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3994-1401","authenticated-orcid":false,"given":"Jungang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,2]]},"reference":[{"key":"5005_CR1","unstructured":"Bahdanau D, Cho K, Bengio Y (2014) Neural machine translation by jointly learning to align and translate. Preprint. arXiv:abs\/1409.0473"},{"key":"5005_CR2","doi-asserted-by":"crossref","unstructured":"Banko M, Mittal VO, Witbrock MJ (2000) Headline generation based on statistical translation. In: Proceedings of the 38th annual meeting of the association for computational linguistics, pp. 318\u2013325. Association for Computational Linguistics, Hong Kong","DOI":"10.3115\/1075218.1075259"},{"key":"5005_CR3","doi-asserted-by":"crossref","unstructured":"\u00c7elikyilmaz A, Bosselut A, He X, Choi Y (2018) Deep communicating agents for abstractive summarization. In: Proceedings of the 2018 conference of the North American chapter of the association for computational linguistics: human language technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1\u20136, 2018, Volume 1: long papers, pp 1662\u20131675","DOI":"10.18653\/v1\/N18-1150"},{"key":"5005_CR4","doi-asserted-by":"crossref","unstructured":"Chen Y, Bansal M (2018) Fast abstractive summarization with reinforce-selected sentence rewriting. In: Proceedings of the 56th annual meeting of the association for computational linguistics, ACL 2018, Melbourne, Australia, July 15\u201320, 2018, Volume 1: long papers, pp 675\u2013686","DOI":"10.18653\/v1\/P18-1063"},{"key":"5005_CR5","doi-asserted-by":"crossref","unstructured":"Chopra S, Auli M, Rush AM (2016) Abstractive sentence summarization with attentive recurrent neural networks. In: Proceedings of the 2016 conference of the north american chapter of the association for computational linguistics: human language technologies, pp 93\u201398. Association for Computational Linguistics, San Diego, California","DOI":"10.18653\/v1\/N16-1012"},{"issue":"1","key":"5005_CR6","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1613\/jair.2433","volume":"31","author":"J Clarke","year":"2008","unstructured":"Clarke J, Lapata M (2008) Global inference for sentence compression an integer linear programming approach. J Artif Intell Res 31(1):399\u2013429","journal-title":"J Artif Intell Res"},{"key":"5005_CR7","doi-asserted-by":"crossref","unstructured":"Denkowski M, Lavie A (2014) Meteor universal: Language specific translation evaluation for any target language. In: Proceedings of the ninth workshop on statistical machine translation, pp 376\u2013380. Association for Computational Linguistics, Baltimore, Maryland, USA","DOI":"10.3115\/v1\/W14-3348"},{"key":"5005_CR8","doi-asserted-by":"crossref","unstructured":"Filippova K, Alfonseca E, Colmenares CA, Kaiser L, Vinyals O (2015) Sentence compression by deletion with LSTMs. In: Proceedings of the 2015 conference on empirical methods in natural language processing, pp 360\u2013368. Association for Computational Linguistics, Lisbon, Portugal","DOI":"10.18653\/v1\/D15-1042"},{"key":"5005_CR9","doi-asserted-by":"crossref","unstructured":"Gehrmann S, Deng Y, Rush A (2018) Bottom-up abstractive summarization. In: Proceedings of the 2018 conference on empirical methods in natural language processing, pp 4098\u20134109. Association for Computational Linguistics, Brussels, Belgium","DOI":"10.18653\/v1\/D18-1443"},{"key":"5005_CR10","doi-asserted-by":"crossref","unstructured":"Gu J, Lu Z, Li H, Li VOK (2016) Incorporating copying mechanism in sequence-to-sequence learning. In: Proceedings of the 54th annual meeting of the association for computational linguistics, ACL 2016, August 7\u201312, 2016, Berlin, Germany, Volume 1: long papers","DOI":"10.18653\/v1\/P16-1154"},{"key":"5005_CR11","doi-asserted-by":"crossref","unstructured":"Guo H, Pasunuru R, Bansal M (2018) Soft layer-specific multi-task summarization with entailment and question generation. In: Proceedings of the 56th annual meeting of the association for computational linguistics, ACL 2018, Melbourne, Australia, July 15\u201320, 2018, Volume 1: long papers, pp 687\u2013697","DOI":"10.18653\/v1\/P18-1064"},{"key":"5005_CR12","first-page":"178","volume":"30","author":"D He","year":"2017","unstructured":"He D, Lu H, Xia Y, Qin T, Wang L, Liu TY (2017) Decoding with value networks for neural machine translation. Adv Neural Inf Process Syst 30:178\u2013187","journal-title":"Adv Neural Inf Process Syst"},{"key":"5005_CR13","unstructured":"Hen\u00df S, Mieskes M, Gurevych I (2015) A reinforcement learning approach for adaptive single- and multi-document summarization. In: Proceedings of the international conference of the german society for computational linguistics and language technology, GSCL 2015, University of Duisburg-Essen, Germany, pp 3\u201312"},{"key":"5005_CR14","doi-asserted-by":"crossref","unstructured":"Hoang CDV, Haffari G, Cohn T (2017) Towards decoding as continuous optimisation in neural machine translation. In: Proceedings of the 2017 conference on empirical methods in natural language processing, pp 146\u2013156. Association for Computational Linguistics, Copenhagen, Denmark","DOI":"10.18653\/v1\/D17-1014"},{"issue":"8","key":"5005_CR15","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(8):1735\u20131780","journal-title":"Neural Comput"},{"key":"5005_CR16","unstructured":"Jing H, McKeown KR (2000) Cut and paste based text summarization. In: Proceedings of the 1st North American chapter of the association for computational linguistics conference, NAACL 2000, pp 178\u2013185. Association for Computational Linguistics, Stroudsburg, PA, USA"},{"issue":"1","key":"5005_CR17","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/S0004-3702(02)00222-9","volume":"139","author":"K Knight","year":"2002","unstructured":"Knight K, Marcu D (2002) Summarization beyond sentence extraction: a probabilistic approach to sentence compression. J Artif Intell Res 139(1):91\u2013107","journal-title":"J Artif Intell Res"},{"key":"5005_CR18","doi-asserted-by":"crossref","unstructured":"Li C, Xu W, Li S, Gao S (2018) Guiding generation for abstractive text summarization based on key information guide network. In: Proceedings of the 2018 conference of the North American chapter of the association for computational linguistics: human language technologies, Volume 2 (short papers), pp 55\u201360. Association for Computational Linguistics, New Orleans, Louisiana","DOI":"10.18653\/v1\/N18-2009"},{"key":"5005_CR19","doi-asserted-by":"crossref","unstructured":"Li W, Xiao X, Lyu Y, Wang Y (2018) Improving neural abstractive document summarization with explicit information selection modeling. In: Proceedings of the 2018 conference on empirical methods in natural language processing, pp 1787\u20131796. Association for Computational Linguistics, Brussels, Belgium","DOI":"10.18653\/v1\/D18-1205"},{"key":"5005_CR20","unstructured":"Lin CY (2004) ROUGE: a package for automatic evaluation of summaries. In: Text summarization branches out: Proceedings of the ACL-04 workshop, pp 74\u201381. Association for Computational Linguistics, Barcelona, Spain"},{"key":"5005_CR21","doi-asserted-by":"crossref","unstructured":"Liu CW, Lowe R, Serban I, Noseworthy M, Charlin L, Pineau J (2016) How NOT to evaluate your dialogue system: an empirical study of unsupervised evaluation metrics for dialogue response generation. In: Proceedings of the 2016 conference on empirical methods in natural language processing, pp 2122\u20132132. Association for Computational Linguistics, Austin, Texas","DOI":"10.18653\/v1\/D16-1230"},{"key":"5005_CR22","doi-asserted-by":"crossref","unstructured":"Nallapati R, Zhou B, dos Santos CN, G\u00fcl\u00e7ehre \u00c7, Xiang B (2016) Abstractive text summarization using sequence-to-sequence rnns and beyond. In: Proceedings of the 20th SIGNLL conference on computational natural language learning, CoNLL 2016, Berlin, Germany, August 11\u201312, 2016, pp 280\u2013290","DOI":"10.18653\/v1\/K16-1028"},{"key":"5005_CR23","doi-asserted-by":"crossref","unstructured":"Pasunuru R, Bansal M (2018) Multi-reward reinforced summarization with saliency and entailment. In: Proceedings of the 2018 conference of the North American chapter of the association for computational linguistics: human language technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1\u20136, 2018, Volume 2 (short papers), pp 646\u2013653","DOI":"10.18653\/v1\/N18-2102"},{"key":"5005_CR24","unstructured":"Paulus R, Xiong C, Socher R (2018) A deep reinforced model for abstractive summarization. In: Proceedings of 6th international conference on learning representations, Vancouver, BC, Canada"},{"key":"5005_CR25","doi-asserted-by":"crossref","unstructured":"Rush AM, Chopra S, Weston J (2015) A neural attention model for abstractive sentence summarization. In: Proceedings of the 2015 conference on empirical methods in natural language processing, EMNLP 2015, Lisbon, Portugal, September 17\u201321, 2015, pp 379\u2013389","DOI":"10.18653\/v1\/D15-1044"},{"key":"5005_CR26","doi-asserted-by":"crossref","unstructured":"See A, Liu PJ, Manning CD (2017) Get to the point: Summarization with pointer-generator networks. In: Proceedings of the 55th annual meeting of the association for computational linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Vancouver, Canada, pp 1073\u20131083","DOI":"10.18653\/v1\/P17-1099"},{"key":"5005_CR27","doi-asserted-by":"crossref","unstructured":"Sennrich R, Haddow B, Birch A (2016) Edinburgh neural machine translation systems for WMT 16. In: Proceedings of the first conference on machine translation, WMT 2016, colocated with ACL 2016, August 11\u201312, Berlin, Germany, pp 371\u2013376","DOI":"10.18653\/v1\/W16-2323"},{"issue":"7587","key":"5005_CR28","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1038\/nature16961","volume":"529","author":"D Silver","year":"2016","unstructured":"Silver D, Huang A, Maddison CJ, Guez A, Sifre L, van den Driessche G, Schrittwieser J, Antonoglou I, Panneershelvam V, Lanctot M, Dieleman S, Grewe D, Nham J, Kalchbrenner N, Sutskever I, Lillicrap TP, Leach M, Kavukcuoglu K, Graepel T, Hassabis D (2016) Mastering the game of go with deep neural networks and tree search. Nature 529(7587):484\u2013489","journal-title":"Nature"},{"key":"5005_CR29","unstructured":"Sutskever I, Vinyals O, Le QV (2014) Sequence to sequence learning with neural networks. In: Advances in neural information processing systems 27: annual conference on neural information processing systems 2014, December 8\u201313 2014, Montreal, Quebec, Canada, pp 3104\u20133112"},{"key":"5005_CR30","doi-asserted-by":"crossref","unstructured":"Takase S, Suzuki J, Okazaki N, Hirao T, Nagata M (2016) Neural headline generation on abstract meaning representation. In: Proceedings of the 2016 conference on empirical methods in natural language processing. Association for Computational Linguistics, Austin, Texas, pp 1054\u20131059","DOI":"10.18653\/v1\/D16-1112"},{"key":"5005_CR31","doi-asserted-by":"crossref","unstructured":"Tan J, Wan X, Xiao J (2017) Abstractive document summarization with a graph-based attentional neural model. In: Proceedings of the 55th annual meeting of the association for computational linguistics, ACL 2017, Vancouver, Canada, July 30\u2013August 4, Volume 1: long papers, pp 1171\u20131181","DOI":"10.18653\/v1\/P17-1108"},{"issue":"2s","key":"5005_CR32","first-page":"40:1","volume":"14","author":"C Wang","year":"2018","unstructured":"Wang C, Yang H, Meinel C (2018) Image captioning with deep bidirectional lstms and multi-task learning. ACM Trans Multimed Comput Commun Appl 14(2s):40:1\u201340:20","journal-title":"ACM Trans Multimed Comput Commun Appl"},{"key":"5005_CR33","unstructured":"Zajic D, Dorr BJ, Schwartz R (2004) Bbn\/umd at duc-2004: topiary. In: Proceedings of the HLT-NAACL 2004 document understanding workshop, Boston, pp 112\u2013119"},{"key":"5005_CR34","doi-asserted-by":"crossref","unstructured":"Zhang X, Su J, Qin Y, Liu Y, Ji R, Wang H (2018) Asynchronous bidirectional decoding for neural machine translation. In: Proceedings of the thirty-second AAAI conference on artificial intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI symposium on educational advances in artificial intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2\u20137, 2018, pp 5698\u20135705","DOI":"10.1609\/aaai.v32i1.11984"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05005-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05005-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05005-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T21:11:00Z","timestamp":1696194660000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05005-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,2]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,2]]}},"alternative-id":["5005"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05005-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2020,6,2]]},"assertion":[{"value":"3 October 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 May 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"We declare that we have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}