{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:42:23Z","timestamp":1774366943381,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276219"],"award-info":[{"award-number":["62276219"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62036004"],"award-info":[{"award-number":["62036004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CCF-Baidu Open Fund","award":["OF2021017"],"award-info":[{"award-number":["OF2021017"]}]},{"name":"Natural Science Foundation of Fujian Province of China","award":["2020J06001"],"award-info":[{"award-number":["2020J06001"]}]},{"name":"Youth Innovation Fund of Xiamen","award":["3502Z20206059"],"award-info":[{"award-number":["3502Z20206059"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/taslp.2022.3221002","type":"journal-article","created":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T20:37:31Z","timestamp":1668112651000},"page":"188-199","source":"Crossref","is-referenced-by-count":7,"title":["Controllable Dialogue Generation With Disentangled Multi-Grained Style Specification and Attribute Consistency Reward"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1737-3711","authenticated-orcid":false,"given":"Zhe","family":"Hu","sequence":"first","affiliation":[{"name":"Baidu Inc, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5674-0444","authenticated-orcid":false,"given":"Zhiwei","family":"Cao","sequence":"additional","affiliation":[{"name":"Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9207-4178","authenticated-orcid":false,"given":"Hou Pong","family":"Chan","sequence":"additional","affiliation":[{"name":"University of Macau, Macau, China"}]},{"given":"Jiachen","family":"Liu","sequence":"additional","affiliation":[{"name":"Baidu Inc, Beijing, China"}]},{"given":"Xinyan","family":"Xiao","sequence":"additional","affiliation":[{"name":"Baidu Inc, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5606-7122","authenticated-orcid":false,"given":"Jinsong","family":"Su","sequence":"additional","affiliation":[{"name":"Xiamen University, Xiamen, China"}]},{"given":"Hua","family":"Wu","sequence":"additional","affiliation":[{"name":"Baidu Inc, Beijing, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1205"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.131"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-4012"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1204"},{"key":"ref31","article-title":"Ctrl: A conditional transformer language model for controllable generation","author":"keskar","year":"2019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.240"},{"key":"ref37","first-page":"13645","article-title":"Paraphrase generation with latent bag of words","author":"fu","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014"},{"key":"ref35","article-title":"Categorical reparametrization with gumbel-softmax","author":"jang","year":"2016"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/706"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.639"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1190"},{"key":"ref29","first-page":"412","article-title":"Policy-driven neural response generation for knowledge-grounded dialog systems","author":"hedayatnia","year":"0","journal-title":"Proc 13th Int Conf Natural Lang Gener"},{"key":"ref2","article-title":"A neural conversational model","author":"vinyals","year":"2015"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6400"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-5901"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016383"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1431"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.396"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1228"},{"key":"ref25","article-title":"A controllable model of grounded response generation","author":"wu","year":"2020"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1104"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1139"},{"key":"ref40","first-page":"986","article-title":"DailyDialog: A manually labelled multi-turn dialogue dataset","author":"li","year":"0","journal-title":"Proc 8th Int Joint Conf Natural Lang Process"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.33"},{"key":"ref13","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume":"27","author":"sutskever","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref14","first-page":"3349","article-title":"Sequence to backward and forward sequences: A content-introducing approach to generative short-text conversation","author":"mou","year":"0","journal-title":"Proc COLING 26th Int Conf Comput Linguistics Tech Papers"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1230"},{"key":"ref16","first-page":"1810","article-title":"Generating informative and diverse conversational responses via adversarial information maximization","volume":"31","author":"zhang","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1127"},{"key":"ref18","article-title":"An attentional neural conversation model with improved specificity","author":"yao","year":"2016"},{"key":"ref19","article-title":"Towards explainable and controllable open domain dialogue generation with dialogue acts","author":"xu","year":"2018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1055"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1152"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1102"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1061"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1538"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1170"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-4012"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/721"},{"key":"ref48","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc 3rd Int Conf Learn Representations"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-5010"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.9"},{"key":"ref44","first-page":"5998","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-2706"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/9970249\/09944920.pdf?arnumber=9944920","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:26:42Z","timestamp":1672082802000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9944920\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/taslp.2022.3221002","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}