{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:28:30Z","timestamp":1777487310819,"version":"3.51.4"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/taslp.2021.3054309","type":"journal-article","created":{"date-parts":[[2021,1,25]],"date-time":"2021-01-25T22:51:23Z","timestamp":1611615083000},"page":"866-873","source":"Crossref","is-referenced-by-count":13,"title":["Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1741-4969","authenticated-orcid":false,"given":"Vevake","family":"Balaraman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernardo","family":"Magnini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"0","journal-title":"Proc NAACL-HLT"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/116580.116613"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1042"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1547"},{"key":"ref14","first-page":"207","article-title":"Frames: A corpus for adding memory to goal-oriented dialogue systems","author":"asri","year":"0","journal-title":"Proc 18th Annu SIGdial Meeting Discourse Dialogue"},{"key":"ref15","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","article-title":"Bridging nonlinearities and stochastic regularizers with gaussian error linear units","volume":"abs 1606 8415","author":"hendrycks","year":"2016","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1355"},{"key":"ref18","first-page":"422","article-title":"MultiWOZ 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines","author":"eric","year":"0","journal-title":"Proc 12th Lang Resour Eval Conf"},{"key":"ref19","first-page":"109","article-title":"MultiWOZ 2.2: A dialogue dataset with additional annotation corrections and state tracking baselines","author":"zang","year":"0","journal-title":"Proc 2nd Workshop Natural Lang Process Conversational AI"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1134"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1299"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2069"},{"key":"ref5","first-page":"561","article-title":"Scalable multi-domain dialogue state tracking","author":"rastogi","year":"0","journal-title":"Proc IEEE Workshop on Automatic Speech Recognition and Understanding"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6394"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1078"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1135"},{"key":"ref9","article-title":"The eighth dialog system technology challenge","author":"kim","year":"2019"},{"key":"ref1","first-page":"1777","article-title":"Neural belief tracker: Data-driven dialogue state tracking","author":"mrk\u0161i?","year":"0","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref20","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"0","journal-title":"Proc NIPS Autodiff Workshop"},{"key":"ref22","article-title":"Toward scalable neural dialogue state tracking","author":"nouri","year":"0","journal-title":"Proc NeurIPS 2018"},{"key":"ref21","article-title":"Huggingface's transformers: State-of-the-art natural language processing","volume":"abs 1910 3771","author":"wolf","year":"0"},{"key":"ref24","first-page":"35","article-title":"Trippy: A triple copy strategy for value independent neural dialog state tracking","author":"heck","year":"0","journal-title":"Proc 21th Annu Meeting Special Interest Group Discourse Dialogue SIGdial 2020 1st virtual meeting"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1546"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.53"},{"key":"ref25","article-title":"Find or classify? Dual strategy for slot-value predictions on multi-domain dialog state tracking","author":"zhang","year":"2019","journal-title":"CoRR"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/9289074\/09335254.pdf?arnumber=9335254","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:53Z","timestamp":1652194433000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9335254\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/taslp.2021.3054309","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"value":"2329-9290","type":"print"},{"value":"2329-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}