{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T05:18:56Z","timestamp":1741151936285,"version":"3.38.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3544600","type":"journal-article","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T18:41:32Z","timestamp":1740422492000},"page":"36832-36844","source":"Crossref","is-referenced-by-count":0,"title":["Semi-Supervised Learning for Estimation of a Speaker\u2019s Intimacy Enhanced With Classification Models of Auxiliary Tasks"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1178-7407","authenticated-orcid":false,"given":"Takuto","family":"Miura","sequence":"first","affiliation":[{"name":"Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7202-8561","authenticated-orcid":false,"given":"Hideaki","family":"Kanai","sequence":"additional","affiliation":[{"name":"Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7591-2155","authenticated-orcid":false,"given":"Kiyoaki","family":"Shirai","sequence":"additional","affiliation":[{"name":"Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natthawut","family":"Kertkeidkachorn","sequence":"additional","affiliation":[{"name":"Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1891\/jnum.13.3.193"},{"key":"ref2","first-page":"235","article-title":"Improving user impression in spoken dialog system with gradual speech form control","volume-title":"Proc. 19th Annu. SIGdial Meeting Discourse Dialogue","author":"Kageyama"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2008.4651113"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2012.10.001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1056808.1056879"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1514095.1514127"},{"key":"ref7","first-page":"1","article-title":"Speaker intimacy in chat-talks: Analysis and recognition based on verbal and non-verbal information","volume-title":"Proc. 25th Workshop Semantics Pragmatics Dialogue","author":"Chiba"},{"key":"ref8","first-page":"5307","article-title":"Quantifying intimacy in language","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process. (EMNLP)","author":"Pei"},{"key":"ref9","first-page":"6141","article-title":"SAT: Improving semi-supervised text classification with simple instance-adaptive self-training","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Chen"},{"key":"ref10","first-page":"5370","article-title":"Towards empathetic open-domain conversation models: A new benchmark and dataset","volume-title":"Proc. 57th Annu. Meeting Assoc. Comput. Linguistics","author":"Rashkin"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SLT54892.2023.10022973"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACII52823.2021.9597447"},{"key":"ref13","first-page":"443","article-title":"Construction and analysis of a multimodal chat-talk corpus for dialog systems considering interpersonal closeness","volume-title":"Proc. 12th Lang. Resour. Eval. Conf.","author":"Yamazaki"},{"issue":"2","key":"ref14","first-page":"6","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. ICML Workshop, Challenges Represent. Learn. (WREPL)","volume":"3","author":"Lee"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACVMOT.2005.107"},{"key":"ref17","first-page":"3365","article-title":"Learning with pseudo-ensembles","volume-title":"Proc. 27th Int. Conf. Neural Inf. Process. Syst.","volume":"2","author":"Bachman"},{"key":"ref18","first-page":"1171","article-title":"Regularization with stochastic transformations and perturbations for deep semi-supervised learning","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Sajjadi"},{"key":"ref19","first-page":"1","article-title":"Temporal ensembling for semi-supervised learning","volume-title":"Proc. 5th Int. Conf. Learn. Represent.","author":"Laine"},{"key":"ref20","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Sohn"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.451"},{"key":"ref22","first-page":"3003","article-title":"Progressive class semantic matching for semi-supervised text classification","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Lang. Technol.","author":"Xu"},{"key":"ref23","first-page":"498","article-title":"Multitask semi-supervised learning for class-imbalanced discourse classification","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Spangher"},{"key":"ref24","first-page":"2481","article-title":"FLiText: A faster and lighter semi-supervised text classification with convolution networks","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Liu"},{"key":"ref25","first-page":"5044","article-title":"Semi-supervised text classification with balanced deep representation distributions","volume-title":"Proc. 59th Annu. Meeting Assoc. Comput. Linguistics 11th Int. Joint Conf. Natural Lang. Process.","author":"Li"},{"key":"ref26","first-page":"5614","article-title":"Rethinking semi-supervised learning with language models","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Shi"},{"issue":"22","key":"ref27","first-page":"53","article-title":"A technique for the measurement of attitudes","volume":"140","author":"Likert","year":"1932","journal-title":"Arch. Psychol."},{"issue":"3","key":"ref28","first-page":"159","article-title":"Development of scale of intimacy in social network","volume-title":"JSiSE (Jpn. Soc. Inf. Syst. Educ.) Res. Rep.","volume":"31","author":"Kawano","year":"2017"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.2132\/personality.18.196"},{"volume-title":"Neo Personality Inventory-Revised (NEO PI-R)","year":"1992","author":"Costa","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2132\/personality.21.40"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/S0092-6566(03)00046-1"},{"key":"ref33","first-page":"97","article-title":"The ICSI meeting recorder dialog act (MRDA) corpus","volume-title":"Proc. 5th SIGdial Workshop Discourse Dialogue HLT-NAACL","author":"Shriberg"},{"key":"ref34","first-page":"986","article-title":"DailyDialog: A manually labelled multi-turn dialogue dataset","volume-title":"Proc. 8th Int. Joint Conf. Natural Lang. Process.","author":"Li"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6259"},{"key":"ref36","first-page":"2150","article-title":"Speaker turn modeling for dialogue act classification","volume-title":"Proc. Findings Assoc. Comput. Linguistics,","author":"He"},{"key":"ref37","first-page":"741","article-title":"JAIST annotated corpus of free conversation","volume-title":"Proc. 11th Int. Conf. Lang. Resour. Eval.","author":"Shirai"},{"key":"ref38","first-page":"44","article-title":"Emotion detection on TV show transcripts with sequence-based convolutional neural networks","volume-title":"Proc. 32nd AAAI Conf. Artif. Intell.","author":"Zahiri"},{"key":"ref39","first-page":"527","article-title":"MELD: A multimodal multi-party dataset for emotion recognition in conversations","volume-title":"Proc. 57th Annu. Meeting Assoc. Comput. Linguistics","author":"Poria"},{"key":"ref40","first-page":"5197","article-title":"Supervised prototypical contrastive learning for emotion recognition in conversation","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Song"},{"key":"ref41","first-page":"5669","article-title":"CoMPM: Context modeling with speaker\u2019s pre-trained memory tracking for emotion recognition in conversation","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Lang. Technol.","author":"Lee"},{"volume-title":"Utsunomiya University Spoken Dialogue Database for Paralinguistic Information Studies (UUDB)","year":"2008","author":"Mori","key":"ref42"},{"key":"ref43","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. Conf. North American Chapter Assoc. Comput. Linguistics, Human Lang. Technol.","volume":"1","author":"Devlin"},{"volume-title":"BTSJ-Japanese Natural Conversation Corpus With Transcripts and Recordings","year":"2021","author":"Usami","key":"ref44"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1907.11692"},{"key":"ref46","first-page":"6382","article-title":"EDA: Easy data augmentation techniques for boosting performance on text classification tasks","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process. 9th Int. Joint Conf. Natural Lang. Process. (EMNLP-IJCNLP)","author":"Wei"},{"key":"ref47","first-page":"86","article-title":"Improving neural machine translation models with monolingual data","volume-title":"Proc. 54th Annu. Meeting Assoc. Comput. Linguistics","author":"Sennrich"},{"key":"ref48","first-page":"56","article-title":"Japanese SemCor: A sense-tagged corpus of Japanese","volume-title":"Proc. 6th Global WordNet Conf.","author":"Bond"},{"key":"ref49","first-page":"371","article-title":"Edinburgh neural machine translation systems for WMT 16","volume-title":"Proc. 1st Conf. Mach. Translation","volume":"2","author":"Sennrich"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10900359.pdf?arnumber=10900359","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T05:53:36Z","timestamp":1741067616000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10900359\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3544600","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}