{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:03:40Z","timestamp":1760598220170,"version":"3.37.3"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10020298","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"721-726","source":"Crossref","is-referenced-by-count":1,"title":["Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction"],"prefix":"10.1109","author":[{"given":"Rui","family":"Fan","sequence":"first","affiliation":[{"name":"National Language Resources Monitor Research Center for Network Media, Central China Normal University,Faculty of Artificial Intelligence in Education, Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,China"}]},{"given":"Tingting","family":"He","sequence":"additional","affiliation":[{"name":"National Language Resources Monitor Research Center for Network Media, School of Computer, Central China Normal University,School of Computer, Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,China"}]},{"given":"Yufan","family":"Wang","sequence":"additional","affiliation":[{"name":"National Language Resources Monitor Research Center for Network Media, Central China Normal University,National Engineering Research Center for E-Learning, Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,China"}]},{"given":"Jie","family":"Hong","sequence":"additional","affiliation":[{"name":"National Language Resources Monitor Research Center for Network Media, Central China Normal University Network Media,School of Computer, Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,China"}]},{"given":"Xinhui","family":"Tu","sequence":"additional","affiliation":[{"name":"National Language Resources Monitor Research Center for Network Media, Central China Normal University Network Media,School of Computer, Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning,Wuhan,China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"45","article-title":"A text-driven rule-based system for emotion cause detection","volume-title":"Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text","author":"Lee"},{"key":"ref2","first-page":"1639","article-title":"Event-driven emotion cause extraction with corpus construction","volume-title":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing","author":"Gui"},{"key":"ref3","first-page":"1003","article-title":"Emotion-cause pair extraction: A new task to emotion analysis in texts","volume-title":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","author":"Xia"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60450-9_60"},{"key":"ref5","article-title":"End-to-end emotion-cause pair extraction via learning to link","volume-title":"Computing Research Repository","author":"Song","year":"2020"},{"key":"ref6","first-page":"198","article-title":"End-to-end emotion-cause pair extraction with graph convolutional network","volume-title":"Proceedings of the 28th International Conference on Computational Linguistics","author":"Chen"},{"key":"ref7","first-page":"3161","article-title":"ECPE-2D: Emotion-cause pair extraction based on joint two-dimensional representation, interaction and prediction","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","author":"Ding"},{"key":"ref8","first-page":"3171","article-title":"Effective inter-clause modeling for end-to-end emotion-cause pair extraction","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","author":"Wei"},{"key":"ref9","first-page":"329","article-title":"Joint multi-level attentional model for emotion detection and emotion-cause pair extraction","volume-title":"Neurocomputing","volume":"409","author":"Tang","year":"2020"},{"key":"ref10","first-page":"2212","article-title":"A multi-task learning neural network for emotion-cause pair extraction","volume":"325","author":"Wu","year":"2020","journal-title":"ECAI"},{"key":"ref11","first-page":"107818","article-title":"Order-guided deep neural network for emotion-cause pair prediction","volume-title":"Applied Soft Comput.","volume":"112","author":"Fan","year":"2021"},{"key":"ref12","first-page":"208","article-title":"A unified sequence labeling model for emotion cause pair extraction","volume-title":"Proceedings of the 28th International Conference on Computational Linguistics","author":"Chen"},{"key":"ref13","first-page":"3574","article-title":"End-to-end emotion-cause pair extraction based on sliding window multi-label learning","volume-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Ding"},{"key":"ref14","first-page":"3568","article-title":"Emotion-cause pair extraction as sequence labeling based on a novel tagging scheme","volume-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Yuan"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3089837"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3102194"},{"key":"ref17","first-page":"3707","article-title":"Transition-based directed graph construction for emotion-cause pair extraction","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","author":"Fan"},{"key":"ref18","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","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"},{"key":"ref19","first-page":"5614","article-title":"A knowledge regularized hierarchical approach for emotion cause analysis","volume-title":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","author":"Fan"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref21","article-title":"Roberta: A robustly optimized bert pretraining approach","volume-title":"Computing Research Repository","author":"Liu","year":"2019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3124365"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2022,12,17]]},"location":"Osaka, Japan","end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10020298.pdf?arnumber=10020298","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T07:59:41Z","timestamp":1707811181000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10020298\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10020298","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}