{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T09:49:27Z","timestamp":1769161767937,"version":"3.49.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207121","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-9","source":"Crossref","is-referenced-by-count":4,"title":["Pre-trained Language Models with Limited Data for Intent Classification"],"prefix":"10.1109","author":[{"given":"Buddhika","family":"Kasthuriarachchy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madhu","family":"Chetty","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gour","family":"Karmakar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Darren","family":"Walls","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1007\/978-3-030-32381-3_16","article-title":"How to fine-tune BERT for text classification?","author":"sun","year":"2019","journal-title":"Chinese Computational Linguistics"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref12","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"HLT-NAACL"},{"key":"ref13","article-title":"Assessing BERT&#x2019;s syntactic abilities","author":"goldberg","year":"2019","journal-title":"CoRR"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4828"},{"key":"ref15","first-page":"3261","article-title":"SuperGLUE: A stickier benchmark for general-purpose language understanding systems","author":"wang","year":"2019","journal-title":"Advances in Neural IInformation Processing Systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5446"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v29i1.9529","article-title":"Mining user consumption intention from social media using domain adaptive convolutional neural network","author":"ding","year":"2015"},{"key":"ref18","article-title":"Natural language processing (almost) from scratch","author":"collobert","year":"2011","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1597735.1597780"},{"key":"ref28","article-title":"Improving neural machine translation models with monolingual data","author":"sennrich","year":"2015","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WI.2018.00-80"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93372-6_16"},{"key":"ref6","first-page":"318","article-title":"Mining user intents in twitter: A semi-supervised approach to inferring intent categories for tweets","author":"wang","year":"2015","journal-title":"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177706788"},{"key":"ref5","first-page":"60006010","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems"},{"key":"ref8","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1179"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2487788.2488009"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1572135"},{"key":"ref22","article-title":"Google&#x2019;s neural machine translation system: Bridging the gap between human and machine translation","author":"wu","year":"2016"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1162"},{"key":"ref24","first-page":"545","author":"vilalta","year":"2010","journal-title":"Inductive Transfer"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772767"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","location":"Glasgow, United Kingdom","start":{"date-parts":[[2020,7,19]]},"end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207121.pdf?arnumber=9207121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T06:21:16Z","timestamp":1669011676000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207121\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207121","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}