{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T08:12:16Z","timestamp":1773389536488,"version":"3.50.1"},"reference-count":38,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T00:00:00Z","timestamp":1642550400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2016YFB0800100"],"award-info":[{"award-number":["2016YFB0800100"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61572444, 61972133, 61806137, 61702149, 61836007, and 61702518"],"award-info":[{"award-number":["61572444, 61972133, 61806137, 61702149, 61836007, and 61702518"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Jiangsu High School Research Grant","award":["18KJB520043"],"award-info":[{"award-number":["18KJB520043"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2022,7,31]]},"abstract":"<jats:p>\n            Emotion recognition in conversation is one of the essential tasks of natural language processing. However, this task\u2019s annotation data is insufficient since such data is hard to collect and annotate. Meanwhile, there is large-scale data for conversational generation, and this data does not need annotation manually. But, whether the vector space between different datasets is similar will be a problem. Therefore, we utilize a same dataset to train the conversational generator and the classifier, and transfer knowledge between them. In particular, we propose an\n            <jats:bold>Emotion Recognition with Conversational Generation Transfer (ERCGT)<\/jats:bold>\n            framework to model the interaction among utterances by transfer learning. First, we train a conversational generator. In the second step, a transfer learning model is used to transfer the knowledge of generator to the emotion recognition model. Empirical studies illustrate the effectiveness of the proposed framework over several strong baselines on three benchmark emotion classification datasets.\n          <\/jats:p>","DOI":"10.1145\/3494532","type":"journal-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T20:19:23Z","timestamp":1642623563000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Emotion Recognition with Conversational Generation Transfer"],"prefix":"10.1145","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1047-6013","authenticated-orcid":false,"given":"Hongchao","family":"Ma","sequence":"first","affiliation":[{"name":"Zhengzhou University, Zhengzhou, China"}]},{"given":"Zhongqing","family":"Wang","sequence":"additional","affiliation":[{"name":"Soochow University, Suzhou, China"}]},{"given":"Xiabing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Soochow University, Suzhou, China"}]},{"given":"Guodong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Soochow University, Suzhou, China"}]},{"given":"Qinglei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Zhengzhou University, Zhengzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1095"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"e_1_3_2_4_2","first-page":"2418","volume-title":"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers","author":"Dahou Abdelghani","year":"2016","unstructured":"Abdelghani Dahou, Shengwu Xiong, Junwei Zhou, Mohamed Houcine Haddoud, and Pengfei Duan. 2016. Word embeddings and convolutional neural network for Arabic sentiment classification. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. The COLING 2016 Organizing Committee, Osaka, Japan, 2418\u20132427."},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.5555\/2021096.2021105"},{"key":"e_1_3_2_6_2","first-page":"4171","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics, Minneapolis, Minnesota, 4171\u20134186. https:\/\/doi.org\/10.18653\/v1\/N19-1423"},{"key":"e_1_3_2_7_2","article-title":"Wizard of Wikipedia: Knowledge-powered conversational agents","author":"Dinan Emily","year":"2018","unstructured":"Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston. 2018. Wizard of Wikipedia: Knowledge-powered conversational agents. arXiv preprint arXiv:1811.01241 (2018).","journal-title":"arXiv preprint arXiv:1811.01241"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2021068"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1169"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1015"},{"key":"e_1_3_2_11_2","doi-asserted-by":"crossref","unstructured":"John Gideon Soheil Khorram Zakaria Aldeneh Dimitrios Dimitriadis and Emily Mower Provost. 2017. Progressive neural networks for transfer learning in emotion recognition. 1098\u20131102. https:\/\/doi.org\/10.21437\/Interspeech.2017-1637","DOI":"10.21437\/Interspeech.2017-1637"},{"key":"e_1_3_2_12_2","first-page":"2379","volume-title":"Proceedings of the 27th International Conference on Computational Linguistics","author":"Gu Yue","year":"2018","unstructured":"Yue Gu, Kangning Yang, Shiyu Fu, Shuhong Chen, Xinyu Li, and Ivan Marsic. 2018. Hybrid attention based multimodal network for spoken language classification. In Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, Santa Fe, New Mexico, USA, 2379\u20132390."},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1280"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1193"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.06.005"},{"key":"e_1_3_2_16_2","first-page":"1597","volume-title":"Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)","author":"Hsu Chao-Chun","year":"2018","unstructured":"Chao-Chun Hsu, Sheng-Yeh Chen, Chuan-Chun Kuo, Ting-Hao Huang, and Lun-Wei Ku. 2018. EmotionLines: An emotion corpus of multi-party conversations. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA), Miyazaki, Japan, 1597\u20131601."},{"key":"e_1_3_2_17_2","article-title":"Modeling rich contexts for sentiment classification with LSTM","author":"Huang Minlie","year":"2016","unstructured":"Minlie Huang, Yujie Cao, and Chao Dong. 2016. Modeling rich contexts for sentiment classification with LSTM. arXiv preprint arXiv:1605.01478 (2016).","journal-title":"arXiv preprint arXiv:1605.01478"},{"key":"e_1_3_2_18_2","unstructured":"Yen-Hao Huang Ssu-Rui Lee Mau-Yun Ma Yi-Hsin Chen Ya-Wen Yu and Yi-Shin Chen. 2019. EmotionX-IDEA: Emotion BERT \u2013 An affectional model for conversation. arXiv preprint arXiv:1908.06264."},{"key":"e_1_3_2_19_2","unstructured":"Wenxiang Jiao Michael R. Lyu and Irwin King. 2019. PT-CoDE: Pre-trained Context-Dependent Encoder for Utterancelevel Emotion Recognition. arXiv preprint arXiv: 1910.08916 (2019)."},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.394"},{"key":"e_1_3_2_21_2","first-page":"986","volume-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","author":"Li Yanran","year":"2017","unstructured":"Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017. DailyDialog: A manually labelled multi-turn dialogue dataset. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Asian Federation of Natural Language Processing, Taipei, Taiwan, 986\u2013995."},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4640"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/11430919_37"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0191-3085(00)22002-9"},{"key":"e_1_3_2_26_2","first-page":"67","volume-title":"Proceedings of the 14th Australasian Document Computing Symposium, Sydney","author":"O\u2019Keefe Tim","year":"2009","unstructured":"Tim O\u2019Keefe and Irena Koprinska. 2009. Feature selection and weighting methods in sentiment analysis. In Proceedings of the 14th Australasian Document Computing Symposium, Sydney. Citeseer, 67\u201374."},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1162"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1081"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1050"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929050"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.5555\/3298023.3298047"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.5555\/3016387.3016435"},{"key":"e_1_3_2_34_2","first-page":"287","volume-title":"Natural Language Processing and Chinese Computing","author":"Wei Jia","year":"2019","unstructured":"Jia Wei, Shi Feng, Daling Wang, Yifei Zhang, and Xiangju Li. 2019. Attentional neural network for emotion detection in conversations with speaker influence awareness. In Natural Language Processing and Chinese Computing. Springer, Springer International Publishing, Cham, 287\u2013297."},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.5555\/1672983.1673010"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.5555\/3367722.3367798"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.5555\/3504035.3504103"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3344788"},{"key":"e_1_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.5555\/3504035.3504125"}],"container-title":["ACM Transactions on Asian and Low-Resource Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3494532","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3494532","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:43Z","timestamp":1750193323000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3494532"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,19]]},"references-count":38,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,7,31]]}},"alternative-id":["10.1145\/3494532"],"URL":"https:\/\/doi.org\/10.1145\/3494532","relation":{},"ISSN":["2375-4699","2375-4702"],"issn-type":[{"value":"2375-4699","type":"print"},{"value":"2375-4702","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,19]]},"assertion":[{"value":"2020-12-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-10-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-01-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}