{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T23:59:55Z","timestamp":1775260795820,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2018,10,31]],"date-time":"2018-10-31T00:00:00Z","timestamp":1540944000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,10,31]],"date-time":"2018-10-31T00:00:00Z","timestamp":1540944000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"CAS Pioneer Hundred Talents Program"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61750110516"],"award-info":[{"award-number":["61750110516"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Guangdong Natural Science Fund Project","award":["2018A030313017"],"award-info":[{"award-number":["2018A030313017"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s00521-018-3825-2","type":"journal-article","created":{"date-parts":[[2018,10,31]],"date-time":"2018-10-31T12:48:24Z","timestamp":1540990104000},"page":"6421-6433","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Cross-domain aspect\/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning"],"prefix":"10.1007","volume":"32","author":[{"given":"Min","family":"Yang","sequence":"first","affiliation":[]},{"given":"Qiang","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Lei","sequence":"additional","affiliation":[]},{"given":"Jia","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,31]]},"reference":[{"key":"3825_CR1","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J Mach Learn Res 3:993\u20131022","journal-title":"J Mach Learn Res"},{"key":"3825_CR2","doi-asserted-by":"crossref","unstructured":"Caruana R (1998) Multitask learning. In: Learning to learn. Springer, pp 95\u2013133","DOI":"10.1007\/978-1-4615-5529-2_5"},{"key":"3825_CR3","unstructured":"Chen Q, Zhu X, Ling Z, Wei S, Jiang H (2016) Distraction-based neural networks for modeling documents. In: Proceedings of the international joint conference on artificial intelligence"},{"key":"3825_CR4","first-page":"521","volume":"2","author":"T-H Chen","year":"2017","unstructured":"Chen T-H, Liao Y-H, Chuang C-Y, Hsu W-T, Fu J, Sun M (2017) Show, adapt and tell: adversarial training of cross-domain image captioner. IEEE Int Conf Comput Vis (ICCV) 2:521\u2013530","journal-title":"IEEE Int Conf Comput Vis (ICCV)"},{"key":"3825_CR5","doi-asserted-by":"crossref","unstructured":"Cheng J, Lapata M (2016) Neural summarization by extracting sentences and words. In: Proceedings of the 54th annual meeting of the association for computational linguistics, Berlin, Germany. Association for Computational Linguistics, vol 1: long papers, pp 484\u2013494","DOI":"10.18653\/v1\/P16-1046"},{"key":"3825_CR6","doi-asserted-by":"crossref","unstructured":"Chopra S, Auli M, Rush AM (2016) Abstractive sentence summarization with attentive recurrent neural networks. In: The 15th annual conference of the north American chapter of the association for computational linguistics: human language technologies, pp 93\u201398","DOI":"10.18653\/v1\/N16-1012"},{"key":"3825_CR7","doi-asserted-by":"crossref","unstructured":"Collobert R, Weston J (2008) A unified architecture for natural language processing: deep neural networks with multitask learning. In: The international conference on machine learning, pp 160\u2013167","DOI":"10.1145\/1390156.1390177"},{"key":"3825_CR8","unstructured":"Ganesan K, Zhai CX, Han J (2010) Opinosis: a graph-based approach to abstractive summarization of highly redundant opinions. In: The 23rd international conference on computational linguistics. ACL, pp 340\u2013348"},{"key":"3825_CR9","doi-asserted-by":"crossref","unstructured":"Gerani S, Mehdad Y, Carenini G, Ng RT, Nejat B (2014) Abstractive summarization of product reviews using discourse structure. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), pp 1602\u20131613","DOI":"10.3115\/v1\/D14-1168"},{"key":"3825_CR10","first-page":"1631","volume":"1","author":"J Gu","year":"2016","unstructured":"Gu J, Lu Z, Li H, Li VOK (2016) Incorporating copying mechanism in sequence-to-sequence learning. ACL 1:1631\u20131640","journal-title":"ACL"},{"issue":"8","key":"3825_CR11","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"Sepp Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J (1997) Long short-term memory. In: Neural computation, pp 1735\u20131780","journal-title":"Neural Computation"},{"key":"3825_CR12","first-page":"1621","volume":"7","author":"M Hu","year":"2006","unstructured":"Hu M, Liu B (2006) Opinion extraction and summarization on the web. AAAI 7:1621\u20131624","journal-title":"AAAI"},{"key":"3825_CR13","doi-asserted-by":"crossref","unstructured":"Kikuchi Y, Neubig G, Sasano R, Takamura H, Okumura M (2016) Controlling output length in neural encoder-decoders. In: EMNLP, pp 1328\u20131338","DOI":"10.18653\/v1\/D16-1140"},{"key":"3825_CR14","doi-asserted-by":"crossref","unstructured":"Lavie A, Agarwal A (2007) Meteor: an automatic metric for MT evaluation with high levels of correlation with human judgments. In: Proceedings of the second workshop on statistical machine translation. Association for Computational Linguistics, pp 228\u2013231","DOI":"10.3115\/1626355.1626389"},{"key":"3825_CR15","unstructured":"Li F, Han C, Huang M, Zhu X, Xia Y-J, Zhang S, Yu H (2010) Structure-aware review mining and summarization. In: Proceedings of the 23rd international conference on computational linguistics. Association for Computational Linguistics, pp 653\u2013661"},{"key":"3825_CR16","unstructured":"Lin CY (2004) Rouge: a package for automatic evaluation of summaries. In: ACL workshop on text summarization branches out, vol\u00a08"},{"key":"3825_CR17","doi-asserted-by":"crossref","unstructured":"Lin J, Sun X, Ma S, Su Q (2018) Global encoding for abstractive summarization. In: IJCAI","DOI":"10.18653\/v1\/P18-2027"},{"key":"3825_CR18","doi-asserted-by":"crossref","unstructured":"Liu L, Lu Y, Yang M, Qu Q, Zhu J, Li H (2018) Generative adversarial network for abstractive text summarization. In: Association for the advancement of artificial intelligence","DOI":"10.1609\/aaai.v32i1.12141"},{"key":"3825_CR19","doi-asserted-by":"crossref","unstructured":"Lu Y, Zhai C (2008) Opinion integration through semi-supervised topic modeling. In: Proceedings of the 17th international conference on World Wide Web. ACM, pp 121\u2013130","DOI":"10.1145\/1367497.1367514"},{"key":"3825_CR20","unstructured":"Luong MT, Le QV, Sutskever I, Vinyals O, Kaiser L (2016) Multi-task sequence to sequence learning. In: International conference on learning representations"},{"key":"3825_CR21","unstructured":"Ly DK, Sugiyama K, Lin Z, Kan MY (2011) Product review summarization from a deeper perspective. In: Annual international ACM\/IEEE joint conference on digital libraries. ACM, pp 311\u2013314"},{"key":"3825_CR22","doi-asserted-by":"crossref","unstructured":"Ma S, Sun X, Lin J, Ren X (2018) A hierarchical end-to-end model for jointly improving text summarization and sentiment classification. In: IJCAI","DOI":"10.24963\/ijcai.2018\/591"},{"key":"3825_CR23","doi-asserted-by":"crossref","unstructured":"Markatopoulou F, Mezaris V, Patras I (2016) Deep multi-task learning with label correlation constraint for video concept detection. In: Proceedings of the 2016 ACM on multimedia conference. ACM, pp 501\u2013505","DOI":"10.1145\/2964284.2967271"},{"key":"3825_CR24","doi-asserted-by":"crossref","unstructured":"Mason R, Gaska B, Durme BV, Choudhury P, Hart T, Dolan B, Toutanova K, Mitchell M (2016) Microsummarization of online reviews: an experimental study. In: AAAI, pp 3015\u20133021","DOI":"10.1609\/aaai.v30i1.10396"},{"key":"3825_CR25","doi-asserted-by":"crossref","unstructured":"McAuley J, Leskovec J (2013) Hidden factors and hidden topics: understanding rating dimensions with review text. In: ACM conference on recommender systems. ACM, pp 165\u2013172","DOI":"10.1145\/2507157.2507163"},{"key":"3825_CR26","doi-asserted-by":"crossref","unstructured":"Mei Q, Ling X, Wondra M, Su H, Zhai CX (2007) Topic sentiment mixture: modeling facets and opinions in weblogs. In: Proceedings of the 16th international conference on World Wide Web. ACM, pp 171\u2013180","DOI":"10.1145\/1242572.1242596"},{"key":"3825_CR27","doi-asserted-by":"crossref","unstructured":"Mo K, Li S, Zhang Y, Li J, Yang Q (2017) Personalizing a dialogue system with transfer learning. In: The thirty-first AAAI conference on artificial intelligence","DOI":"10.1609\/aaai.v32i1.11938"},{"key":"3825_CR28","unstructured":"Mukherjee A, Liu B (2012) Aspect extraction through semi-supervised modeling. In: ACL, pp 339\u2013348"},{"key":"3825_CR29","doi-asserted-by":"crossref","unstructured":"Nallapati R, Zhou B, Gulcehre C, Xiang B et\u00a0al (2016) Abstractive text summarization using sequence-to-sequence RNNS and beyond. In: Proceedings of the 20th SIGNLL conference on computational natural language learning. Association for Computational Linguistics, pp 280\u2013290","DOI":"10.18653\/v1\/K16-1028"},{"key":"3825_CR30","unstructured":"Papineni K, Roukos S, Ward T, Zhu WJ (2002) BLEU: a method for automatic evaluation of machine translation. In: The 40th annual meeting on association for computational linguistics, pp 311\u2013318"},{"key":"3825_CR31","doi-asserted-by":"crossref","unstructured":"Pasunuru R, Bansal M (2017) Multi-task video captioning with video and entailment generation. In: The 55th annual meeting of the association for computational linguistics, pp 1273\u20131283","DOI":"10.18653\/v1\/P17-1117"},{"key":"3825_CR32","unstructured":"Paulus R, Xiong C, Socher R (2017) A deep reinforced model for abstractive summarization. arXiv preprint arXiv:1705.04304"},{"key":"3825_CR33","unstructured":"Popescu AM, Etzioni O (2007) Extracting product features and opinions from reviews. In: Natural language processing and text mining. Springer, pp 9\u201328"},{"key":"3825_CR34","doi-asserted-by":"crossref","unstructured":"Porteous I, Newman D, Ihler A, Asuncion A, Smyth P, Welling M (2008) Fast collapsed gibbs sampling for latent Dirichlet allocation. In: SIGKDD, pp 569\u2013577","DOI":"10.1145\/1401890.1401960"},{"key":"3825_CR35","unstructured":"Ranzato MA, Chopra S, Auli M, Zaremba W (2015) Sequence level training with recurrent neural networks. arXiv preprint arXiv:1511.06732"},{"key":"3825_CR36","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. Association for Computational Linguistics, pp 379\u2013389","DOI":"10.18653\/v1\/D15-1044"},{"key":"3825_CR37","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. Association for Computational Linguistics, pp 1073\u20131083","DOI":"10.18653\/v1\/P17-1099"},{"issue":"11","key":"3825_CR38","doi-asserted-by":"crossref","first-page":"5298","DOI":"10.1109\/TIP.2017.2735182","volume":"26","author":"W Shen","year":"2017","unstructured":"Shen W, Zhao K, Jiang Y, Wang Y, Bai X, Yuille A (2017) Deepskeleton: learning multi-task scale-associated deep side outputs for object skeleton extraction in natural images. IEEE Trans Image Process 26(11):5298\u20135311","journal-title":"IEEE Trans Image Process"},{"key":"3825_CR39","doi-asserted-by":"crossref","unstructured":"Titov I, McDonald R (2008) Modeling online reviews with multi-grain topic models. In: Proceedings of the 17th international conference on World Wide Web. ACM, pp 111\u2013120","DOI":"10.1145\/1367497.1367513"},{"key":"3825_CR40","doi-asserted-by":"crossref","unstructured":"Venugopalan S, Hendricks LA, Mooney R, Saenko K (2016) Improving LSTM-based video description with linguistic knowledge mined from text. In: Proceedings of the conference on empirical methods in natural language processing, pp 1961\u20131966","DOI":"10.18653\/v1\/D16-1204"},{"key":"3825_CR41","doi-asserted-by":"crossref","unstructured":"Yang M, Mei J, Xu F, Tu W, Lu Z (2016) Discovering author interest evolution in topic modeling. In: Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 801\u2013804","DOI":"10.1145\/2911451.2914723"},{"key":"3825_CR42","unstructured":"Yang M, Qu Q, Shen Y, Liu Q, Zhao W, Zhu J (2018) Aspect and sentiment aware abstractive review summarization. In: Proceedings of the 27th international conference on computational linguistics, pp 1110\u20131120"},{"key":"3825_CR43","doi-asserted-by":"crossref","unstructured":"Yang M, Zhao Z, Zhao W, Chen X, Zhu J, Zhou L, Cao Z (2017) Personalized response generation via domain adaptation. In: Proceedings of the 40th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 1021\u20131024","DOI":"10.1145\/3077136.3080706"},{"key":"3825_CR44","doi-asserted-by":"crossref","unstructured":"Yang M, Zhu D, Rashed M, Chow KP (2014) Learning domain-specific sentiment lexicon with supervised sentiment-aware LDA. In: Proceedings of the twenty-first European conference on artificial intelligence (ECAI'14), pp 927\u2013932","DOI":"10.3233\/978-1-61499-419-0-927"},{"issue":"5","key":"3825_CR45","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1109\/TCYB.2014.2344015","volume":"45","author":"Y Yang","year":"2015","unstructured":"Yang Y, Ma Z, Yang Y, Nie F, Tao Shen H (2015) Multitask spectral clustering by exploring intertask correlation. IEEE Trans Cybern 45(5):1083\u20131094","journal-title":"IEEE Trans Cybern"},{"key":"3825_CR46","unstructured":"Yu N, Huang M, Shi Y et\u00a0al (2016) Product review summarization by exploiting phrase properties. In: Proceedings of the 26th international conference on computational linguistics (COLING), pp 1113\u20131124"},{"issue":"12","key":"3825_CR47","doi-asserted-by":"crossref","first-page":"2966","DOI":"10.1109\/TCYB.2015.2484324","volume":"46","author":"Y Yuan","year":"2016","unstructured":"Yuan Y, Lin J, Wang Q (2016) Hyperspectral image classification via multitask joint sparse representation and stepwise MRF optimization. IEEE Trans Cybern 46(12):2966\u20132977","journal-title":"IEEE Trans Cybern"},{"key":"3825_CR48","doi-asserted-by":"crossref","unstructured":"Zhang L, Zhang Y, Chen Y (2012) Summarizing highly structured documents for effective search interaction. In: SIGIR. ACM","DOI":"10.1145\/2348283.2348306"},{"issue":"5","key":"3825_CR49","doi-asserted-by":"crossref","first-page":"2045","DOI":"10.1109\/TIP.2016.2524212","volume":"25","author":"Q Zhang","year":"2016","unstructured":"Zhang Q, Levine MD (2016) Robust multi-focus image fusion using multi-task sparse representation and spatial context. IEEE Trans Image Process 25(5):2045\u20132058","journal-title":"IEEE Trans Image Process"},{"key":"3825_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.06.029","author":"W Zheng","year":"2018","unstructured":"Zheng W, Zhu X, Wen G, Zhu Y, Yu H, Ganv J (2018) Unsupervised feature selection by self-paced learning regularization. Pattern Recognit Lett. https:\/\/doi.org\/10.1016\/j.patrec.2018.06.029","journal-title":"Pattern Recognit Lett"},{"issue":"22","key":"3825_CR51","doi-asserted-by":"crossref","first-page":"29739","DOI":"10.1007\/s11042-017-5272-y","volume":"77","author":"W Zheng","year":"2017","unstructured":"Zheng W, Zhu X, Zhu Y, Hu R, Lei C (2017) Dynamic graph learning for spectral feature selection. Multimed Tools Appl 77(22):29739\u201329755","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"3825_CR52","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1109\/TKDE.2017.2763618","volume":"30","author":"X Zhu","year":"2018","unstructured":"Zhu X, Zhang S, Hu R, Zhu Y et al (2018) Local and global structure preservation for robust unsupervised spectral feature selection. IEEE Trans Knowl Data Eng 30(3):517\u2013529","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3825_CR53","unstructured":"Zhu X, Zhang S, Li Y, Zhang J, Yang L, Fang Y (2018) Low-rank sparse subspace for spectral clustering. IEEE Trans Knowl Data Eng. https:\/\/ieeexplore.ieee.org\/document\/8417928"},{"key":"3825_CR54","doi-asserted-by":"crossref","unstructured":"Zhuang L, Jing F, Zhu XY (2006) Movie review mining and summarization. In: Proceedings of the 15th ACM international conference on information and knowledge management. ACM, pp 43\u201350","DOI":"10.1145\/1183614.1183625"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3825-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3825-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3825-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T22:43:40Z","timestamp":1775256220000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3825-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,31]]},"references-count":54,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["3825"],"URL":"https:\/\/doi.org\/10.1007\/s00521-018-3825-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,31]]},"assertion":[{"value":"25 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 October 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 October 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}