{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T14:50:34Z","timestamp":1773154234372,"version":"3.50.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8683090","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T16:01:56Z","timestamp":1555516916000},"page":"2767-2771","source":"Crossref","is-referenced-by-count":18,"title":["Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder"],"prefix":"10.1109","author":[{"given":"Yuchi","family":"Zhang","sequence":"first","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongliang","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liping","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Gai","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1278","article-title":"Stochastic backpropagation and approximate inference in deep generative models","author":"rezende","year":"2014","journal-title":"International Conference on Machine Learning"},{"key":"ref11","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"arXiv preprint arXiv 1312 6114"},{"key":"ref12","first-page":"776","article-title":"Atmbute2image: Conditional image generation from visual Attributes","author":"yan","year":"2016","journal-title":"European Conference on Computer Vsion"},{"key":"ref13","first-page":"3483","article-title":"Learning structured output representation using deep conditional generative models in Advances","author":"sohn","year":"2015","journal-title":"Neural Information Processing Systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K16-1002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref16","first-page":"986","article-title":"Dailydialog: A manually labelled multi-turn dialogue dataset","volume":"1","author":"li","year":"2017","journal-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1 Long Papers)"},{"key":"ref17","article-title":"Automatic differentiation, in pytorch","author":"paszke","year":"2017","journal-title":"NIPS-W"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref19","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014","journal-title":"NIPS 2014 Workshop on Deep Learning December 2014"},{"key":"ref4","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"ref6","article-title":"Non-factoid question-answering system and computer proGram","author":"oh","year":"0","journal-title":"US Patent 9 697 477"},{"key":"ref5","article-title":"Justifying passage machine learning for question and answer Systems","author":"beamon","year":"2017","journal-title":"US Patent 9 613 317"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1014"},{"key":"ref7","first-page":"3104","article-title":"Sequence to sequence leaming with neural networks","author":"sutskever","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1061"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1127"},{"key":"ref9","article-title":"Diverse beam search: Decoding diverse solutions from neural sequence models","author":"vijayakumar","year":"2016","journal-title":"arXiv preprint arXiv 1610 01292"},{"key":"ref20","article-title":"Adam: A method for stochastic Optimization","author":"kingma","year":"2015"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/616"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1230"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Brighton, UK","start":{"date-parts":[[2019,5,12]]},"end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08683090.pdf?arnumber=8683090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:37:52Z","timestamp":1755909472000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8683090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8683090","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}