{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T22:40:28Z","timestamp":1773528028934,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100020487","name":"Nature","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100020487","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10096161","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":8,"title":["Emotion Recognition in Conversation from Variable-Length Context"],"prefix":"10.1109","author":[{"given":"Mian","family":"Zhang","sequence":"first","affiliation":[{"name":"Soochow University,School of Computer Science and Technology,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiabing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Soochow University,School of Computer Science and Technology,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenliang","family":"Chen","sequence":"additional","affiliation":[{"name":"Soochow University,School of Computer Science and Technology,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Soochow University,School of Computer Science and Technology,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.224"},{"key":"ref24","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2019","journal-title":"Proc of ICLR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1015"},{"key":"ref23","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc of NeurIPS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6309"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1016"},{"key":"ref20","article-title":"DailyDialog: A manually labelled multi-turn dialogue dataset","volume":"1","author":"li","year":"2017","journal-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"ref22","article-title":"Roberta: A robustly optimized bert pretraining approach","author":"liu","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1280"},{"key":"ref21","article-title":"Emotion detection on tv show transcripts with sequence-based convolutional neural networks","author":"zahiri","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/945645.945658"},{"key":"ref1","article-title":"Annotation and detection of emotion in a task-oriented human-human dialog corpus","author":"devillers","year":"2002","journal-title":"proceedings of ISLE Workshop"},{"key":"ref17","article-title":"Utterance-level dialogue understanding: An empirical study","author":"ghosal","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref16","article-title":"HiGRU: Hierarchical gated recurrent units for utterance-level emotion recognition","author":"jiao","year":"2019","journal-title":"Proc of NAACL"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.597"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1081"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929050"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1193"},{"key":"ref4","article-title":"Toward detecting emotions in spoken dialogs","author":"lee","year":"2005","journal-title":"IEEE Transactions on Speech and Audio Processing"},{"key":"ref3","article-title":"Predicting emotion in spoken dialogue from multiple knowledge sources","author":"forbes-riley","year":"2004","journal-title":"Proc of NAACL"},{"key":"ref6","article-title":"Sentiment analysis and opinion mining","author":"liu","year":"2012","journal-title":"Synthesis Lectures on Human Language Technologies"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2006-275"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Rhodes Island, Greece","start":{"date-parts":[[2023,6,4]]},"end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10096161.pdf?arnumber=10096161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T18:59:19Z","timestamp":1701111559000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10096161\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10096161","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}