{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T04:30:00Z","timestamp":1746505800468,"version":"3.37.3"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2020,6,24]],"date-time":"2020-06-24T00:00:00Z","timestamp":1592956800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972174"],"award-info":[{"award-number":["61972174"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,3,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>This paper studies the couplet generation model which automatically generates the second line of a couplet by giving the first line. Unlike other sequence generation problems, couplet generation not only considers the sequential context within a sentence line but also emphasizes the relationships between the corresponding words of first and second lines. Therefore, a trapezoidal context character embedding the vector model has been developed firstly, which considers the \u2018sequence context\u2019 and the \u2018corresponding word context\u2019 simultaneously. Afterwards, we chose the typical encoder\u2013decoder framework to solve the sequence\u2013sequence problems, of which the encoder and decoder are used by bi-directional GRU and GRU, respectively. In order to further increase the semantic consistency of the first and second lines of couplets, the pre-trained sentence vector of the first line is added to the attention mechanism in the model. To verify the effectiveness of the method, it is applied to the real data set. Experimental results show that our proposed model can compete with the up-to-date methods, and both adding sentence vectors to attention and using trapezoidal context character vectors can improve the effectiveness of the algorithm.<\/jats:p>","DOI":"10.1093\/comjnl\/bxaa048","type":"journal-article","created":{"date-parts":[[2020,4,5]],"date-time":"2020-04-05T11:07:17Z","timestamp":1586084837000},"page":"286-295","source":"Crossref","is-referenced-by-count":1,"title":["Encoder\u2013Decoder Couplet Generation Model Based on \u2018Trapezoidal Context\u2019 Character Vector"],"prefix":"10.1093","volume":"64","author":[{"given":"Rui","family":"Gao","sequence":"first","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"JD Cloud & AI Department, Beijing Wodong Tianjun Information Technology Co., Ltd. 18th House, Kechuang 11th Street, Daxing District, Beijing 101111, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingye","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Melbourne School of Engineering, The University of Melbourne, Victoria 3010, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shoufeng","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohu","family":"Shi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,6,24]]},"reference":[{"key":"2021120506111515200_ref1","first-page":"377","volume-title":"Proceedings of COLING 2008, Manchester, UK, 18\u201322 August","author":"Jiang","year":"2008"},{"key":"2021120506111515200_ref2","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1017\/S1351324917000171","article-title":"Multilingual extension and evaluation of a poetry generator","volume":"23","author":"Oliveira","year":"2017","journal-title":"Nat. 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