{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T14:37:36Z","timestamp":1777127856026,"version":"3.51.4"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61762081"],"award-info":[{"award-number":["61762081"]}],"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":["61662067"],"award-info":[{"award-number":["61662067"]}],"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":["61662068"],"award-info":[{"award-number":["61662068"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Project of Gansu Provincial","award":["2017GS10781"],"award-info":[{"award-number":["2017GS10781"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2954766","type":"journal-article","created":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T21:02:29Z","timestamp":1574283749000},"page":"168849-168858","source":"Crossref","is-referenced-by-count":35,"title":["A Joint Learning Framework With BERT for Spoken Language Understanding"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3306-8493","authenticated-orcid":false,"given":"Zhichang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8443-8779","authenticated-orcid":false,"given":"Zhenwen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3120-931X","authenticated-orcid":false,"given":"Haoyuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0993-4323","authenticated-orcid":false,"given":"Zhiman","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2010.5700816"},{"key":"ref38","article-title":"Google’s neural machine translation system: Bridging the gap between human and machine translation","author":"wu","year":"2016","journal-title":"arXiv 1609 08144"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref30","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","author":"radford","year":"2019","journal-title":"Language Models are Unsupervised Multitask Learners"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref34","author":"radford","year":"2018","journal-title":"Improving language understanding by generative pre-training"},{"key":"ref10","first-page":"1517","article-title":"User intent classification based on indrnn-attention","volume":"56","author":"zhang","year":"2019","journal-title":"J Comput Res Develop"},{"key":"ref40","article-title":"Snips voice platform: An embedded spoken language understanding system for private-by-design voice interfaces","author":"coucke","year":"2018","journal-title":"arXiv 1805 10190"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707709"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2014.7078634"},{"key":"ref13","first-page":"2993","article-title":"A joint model of intent determination and slot filling for spoken language understanding","author":"zhang","year":"2016","journal-title":"Proc IJCAI"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-402"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2050"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-1352"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2118"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1417"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01716-3_21"},{"key":"ref28","article-title":"Exploring the use of attention-based recurrent neural networks for spoken language understanding","author":"simonnet","year":"2015","journal-title":"Proc Mach Learn Spoken Lang Understand Interact NIPS Workshop (SLUNIPS)"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"3771","DOI":"10.21437\/Interspeech.2013-596","article-title":"Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding","author":"mesnil","year":"2013","journal-title":"Proc INTERSPEECH"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854368"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2003.1198860"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2068"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"2524","DOI":"10.21437\/Interspeech.2013-569","article-title":"Recurrent neural networks for language understanding","author":"yao","year":"2013","journal-title":"Proc INTERSPEECH"},{"key":"ref8","first-page":"1","article-title":"Recurrent neural network structured output prediction for spoken language understanding","author":"liu","year":"2015","journal-title":"Proc NIPS Workshop on Machine Learning for Spoken Language Understanding and Interactions"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-25207-0_3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007649029923"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472841"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/9781119992691"},{"key":"ref20","article-title":"Joint slot filling and intent detection via capsule neural networks","author":"zhang","year":"2018","journal-title":"arXiv 1812 09471"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.11"},{"key":"ref22","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume":"1","author":"devlin","year":"2019","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref21","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014","journal-title":"arXiv 1409 0473"},{"key":"ref42","first-page":"5467","article-title":"A novel bi-directional interrelated model for joint intent detection and slot filling","author":"haihong","year":"2019","journal-title":"Proc 57th Conf Assoc Comput Linguistics"},{"key":"ref24","first-page":"1","article-title":"Recurrent neural network and LSTM models for lexical utterance classification","author":"ravuri","year":"2015","journal-title":"Proc Annu Conf Int Speech Commun Assoc"},{"key":"ref41","article-title":"Cross-lingual transfer learning for multilingual task oriented dialog","author":"schuster","year":"2018","journal-title":"arXiv 1810 13327"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"2713","DOI":"10.21437\/Interspeech.2013-623","article-title":"Deep belief network based semantic taggers for spoken language understanding","author":"deoras","year":"2013","journal-title":"Proc INTERSPEECH"},{"key":"ref44","author":"girija","year":"2016","journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2014.7078572"},{"key":"ref43","article-title":"BERT for joint intent classification and slot filling","author":"chen","year":"2019","journal-title":"arXiv 1902 10909"},{"key":"ref25","first-page":"1","article-title":"Generative and discriminative algorithms for spoken language understanding","author":"raymond","year":"2007","journal-title":"Proc 8th Annu Conf Int Speech Commun Assoc"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08907842.pdf?arnumber=8907842","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,27]],"date-time":"2024-07-27T12:18:01Z","timestamp":1722082681000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8907842\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2954766","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}