{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:45:55Z","timestamp":1730231155878,"version":"3.28.0"},"reference-count":28,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10095597","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":2,"title":["Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats"],"prefix":"10.1109","author":[{"given":"Georgios","family":"Chochlakis","sequence":"first","affiliation":[{"name":"University of Southern California,Signal Analysis and Interpretation Lab,Los Angeles,CA,USA,90089"}]},{"given":"Gireesh","family":"Mahajan","sequence":"additional","affiliation":[{"name":"Microsoft Cognitive Services,Redmond,WA,USA,98052"}]},{"given":"Sabyasachee","family":"Baruah","sequence":"additional","affiliation":[{"name":"University of Southern California,Signal Analysis and Interpretation Lab,Los Angeles,CA,USA,90089"}]},{"given":"Keith","family":"Burghardt","sequence":"additional","affiliation":[{"name":"University of Southern California,Information Science Institute,Marina Del Rey,CA,USA,90292"}]},{"given":"Kristina","family":"Lerman","sequence":"additional","affiliation":[{"name":"University of Southern California,Information Science Institute,Marina Del Rey,CA,USA,90292"}]},{"given":"Shrikanth","family":"Narayanan","sequence":"additional","affiliation":[{"name":"University of Southern California,Signal Analysis and Interpretation Lab,Los Angeles,CA,USA,90089"}]}],"member":"263","reference":[{"article-title":"Emotion regulation and dynamics of moral concerns during the early covid-19 pandemic","year":"2022","author":"guo","key":"ref13"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-017-0875-9"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99495-6_21"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.wnut-1.49"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1169"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-021-01130-8"},{"key":"ref2","first-page":"20","article-title":"Xlm-t: Multilingual language models in twitter for sentiment analysis and beyond","author":"barbieri","year":"2022","journal-title":"Proceedings of the LREC"},{"key":"ref1","first-page":"9","article-title":"Arabert: Transformer-based model for arabic language understanding","author":"antoun","year":"2020","journal-title":"LREC 2020 Workshop Language Resources and Evaluation Conference"},{"article-title":"Dailydialog: A manually labelled multi-turn dialogue dataset","year":"2017","author":"li","key":"ref17"},{"article-title":"Cross-lingual language model pretraining","year":"2019","author":"lample","key":"ref16"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1001"},{"key":"ref18","first-page":"746","article-title":"Linguistic regularities in continuous space word representations","author":"mikolov","year":"2013","journal-title":"Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies"},{"key":"ref24","article-title":"Using semantic similarity for multi-label zero-shot classification of text documents","author":"sappadla","year":"2016","journal-title":"ESANN"},{"journal-title":"Robertuito a pre-trained language model for social media text in spanish","year":"2021","author":"p\u00e9rez","key":"ref23"},{"journal-title":"Emotions media and politics","year":"2019","author":"wahl-jorgensen","key":"ref26"},{"key":"ref25","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.2"},{"article-title":"Natural language inference prompts for zero-shot emotion classification in text across corpora","year":"2022","author":"plaza-del arco","key":"ref22"},{"key":"ref21","first-page":"2001","article-title":"Linguistic inquiry and word count: Liwc 2001","volume":"71","author":"pennebaker","year":"2001","journal-title":"Mahway Lawrence Erlbaum Associates"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1404"},{"article-title":"Emograph: Capturing emotion correlations using graph networks","year":"2020","author":"xu","key":"ref27"},{"article-title":"Unsupervised cross-lingual representation learning at scale","year":"2019","author":"conneau","key":"ref8"},{"article-title":"Leveraging label correlations in a multi-label setting: A case study in emotion","year":"2022","author":"chochlakis","key":"ref7"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"devlin","key":"ref9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.wassa-1.18"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1037"},{"key":"ref6","article-title":"Spanish pre-trained bert model and evaluation data","author":"ca\u00f1ete","year":"2020","journal-title":"PML4DC at ICLR 2020"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordhb\/9780199942237.001.0001"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","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\/10095597.pdf?arnumber=10095597","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T18:57:49Z","timestamp":1700506669000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10095597\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10095597","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}