{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T21:14:08Z","timestamp":1740172448236,"version":"3.37.3"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":["61771068","61671079","61471063"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Municipal Natural Science Foundation","award":["4182041"]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2013CB329102"],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2018RC20"],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Audio Speech Lang. Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/taslp.2020.3018233","type":"journal-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T20:17:10Z","timestamp":1597954630000},"page":"2552-2560","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Multi-Task Learning Framework for Semi-Supervised Semantic Parsing"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0829-4624","authenticated-orcid":false,"given":"Qi","family":"Qi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9806-8369","authenticated-orcid":false,"given":"Xiaolu","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3072-7422","authenticated-orcid":false,"given":"Haifeng","family":"Sun","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2182-2228","authenticated-orcid":false,"given":"Jingyu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Jianxin","family":"Liao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1050","article-title":"Learning to parse database queries using inductive logic programming","volume":"2","author":"zelle","year":"0","journal-title":"Proc Nat Conf Artif Intell and Conf Innovative Appl Artif Intell"},{"key":"ref38","first-page":"1078","article-title":"Semantic parsing with semi-supervised sequential autoencoders","author":"kocisk\u00fd","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref33","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"0","journal-title":"Proc Adv Neural Inf Process Syst Annu Conf Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-2098"},{"key":"ref31","first-page":"48","article-title":"Transfer learning for neural semantic parsing","author":"fan","year":"0","journal-title":"Proc 2nd Workshop Representation Learning for NLP Rep4NLP ACL 2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3115\/1614108.1614129"},{"key":"ref37","article-title":"Temporal ensembling for semi-supervised learning","author":"laine","year":"0","journal-title":"Proc 5th Int Conf Learn Representations ICLR 2017 Toulon France Conf Track Proc"},{"key":"ref36","first-page":"892","article-title":"Semi-supervised lexicon learning for wide-coverage semantic parsing","author":"chen","year":"0","journal-title":"Proc 27th Int Conf Comput Linguist"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref10","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","author":"tarvainen","year":"0","journal-title":"Proc 5th Int Conf Learn Representations Workshop Track Proc"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3115\/116580.116613"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/S0269888900000588"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1499586.1499695"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3115\/974194.974197"},{"key":"ref14","first-page":"658","article-title":"Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars","author":"zettlemoyer","year":"0","journal-title":"Proc 21st Conf Uncertainty Artif Intell"},{"key":"ref15","first-page":"1223","article-title":"Inducing probabilistic CCG grammars from logical form with higher-order unification","author":"kwiatkowski","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process MIT Stata Center Massachusetts USA A meeting SIGDAT a Special Interest Group ACL"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1068"},{"key":"ref17","first-page":"1445","article-title":"A Bayesian model for unsupervised semantic parsing","author":"titov","year":"0","journal-title":"49th Annual Meeting of the Assoc for Computational Linguistics Human Language Technologies"},{"key":"ref18","first-page":"933","article-title":"Grounded unsupervised semantic parsing","author":"poon","year":"0","journal-title":"Proc 51st Annu Meet Assoc for Comput Linguist"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1473"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1201"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1070"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-2007"},{"key":"ref6","first-page":"3079","article-title":"Semi-supervised sequence learning","author":"dai","year":"0","journal-title":"Proc Adv Neural Inf Process Syst Annu Conf Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1447"},{"key":"ref8","article-title":"A survey on multi-task learning","volume":"abs 1707 8114","author":"zhang","year":"2017","journal-title":"CoRR"},{"key":"ref7","first-page":"37","article-title":"Semi-supervised neural machine translation with language models","author":"skorokhodov","year":"0","journal-title":"Proc Workshop Technol MT Low Resource Lang LoResMT AMTA"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1004"},{"key":"ref9","first-page":"5070","article-title":"Meta multi-task learning for sequence modeling","author":"chen","year":"0","journal-title":"Proc 32nd AAAI Conf Artificial Intell (AAAI-18) 30th innovative Appl Artif Intell (IAAI-18) 8th AAAI Symp Edu Adv Artificial Intell"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1002"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1105"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1273"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1162"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1160"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1168"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1217"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1185"},{"key":"ref41","first-page":"26","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Netw Mach Learn"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1194"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/COLI_a_00127"},{"key":"ref26","first-page":"1","article-title":"Deep adversarial learning for NLP","author":"wang","year":"0","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguist Human Lang Technol NAACL-HLT 2019 Minneapolis MN USA Jun \ufffd2 2019 Tutorial Abstracts"},{"key":"ref43","first-page":"678","article-title":"Online learning of relaxed CCG grammars for parsing to logical form","author":"zettlemoyer","year":"0","journal-title":"Proc Proc Joint Conf Empirical Methods Natural Lang Process Comput Natural Lang Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1029"}],"container-title":["IEEE\/ACM Transactions on Audio, Speech, and Language Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570655\/8938144\/09172116.pdf?arnumber=9172116","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:31:23Z","timestamp":1651080683000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9172116\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/taslp.2020.3018233","relation":{},"ISSN":["2329-9290","2329-9304"],"issn-type":[{"type":"print","value":"2329-9290"},{"type":"electronic","value":"2329-9304"}],"subject":[],"published":{"date-parts":[[2020]]}}}