{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T14:11:59Z","timestamp":1730211119311,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:00:00Z","timestamp":1620172800000},"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":[[2021,5,5]]},"DOI":"10.1109\/cscwd49262.2021.9437872","type":"proceedings-article","created":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T20:48:36Z","timestamp":1622234916000},"page":"1046-1051","source":"Crossref","is-referenced-by-count":0,"title":["Incorporating Background Knowledge into Dialogue Generation Using Multi-task Transformer Learning"],"prefix":"10.1109","author":[{"given":"Yiming","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiantao","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1255"},{"journal-title":"Bidirectional attention flow for machine comprehension","year":"2016","author":"seo","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1099"},{"journal-title":"Improving background based conversation with context-aware knowledge pre-selection","year":"2019","author":"zhang","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"journal-title":"Improving language understanding by generative pretraining","year":"2018","author":"radford","key":"ref15"},{"journal-title":"BERT Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"devlin","key":"ref16"},{"journal-title":"Squad 100 000+ questions for machine comprehension of text","year":"2016","author":"rajpurkar","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5446"},{"key":"ref19","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref4","article-title":"Topic aware neural response generation","author":"xing","year":"0","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"journal-title":"A diversity-promoting objective function for neural conversation models","year":"2015","author":"li","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/521"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1233"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1059"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/595"},{"key":"ref2","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"Emotional chatting machine: Emotional conversation generation with internal and external memory","author":"zhou","year":"0","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1700826"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1220"},{"journal-title":"Neural machine translation by jointly learning to align and translate","year":"2014","author":"bahdanau","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref23","article-title":"A hierarchical latent variable encoder-decoder model for generating dialogues","author":"serban","year":"0","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"journal-title":"Simple and effective multi-paragraph reading comprehension","year":"2017","author":"clark","key":"ref26"},{"key":"ref25","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"}],"event":{"name":"2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","start":{"date-parts":[[2021,5,5]]},"location":"Dalian, China","end":{"date-parts":[[2021,5,7]]}},"container-title":["2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9437608\/9437628\/09437872.pdf?arnumber=9437872","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:41:51Z","timestamp":1652197311000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9437872\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,5]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/cscwd49262.2021.9437872","relation":{},"subject":[],"published":{"date-parts":[[2021,5,5]]}}}