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EEG Mode: emotional episode generation for social sharing of emotions

2021Conference object Open access
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dc.contributor.authorAntunes, Ana
dc.contributor.authorCampos, Joana
dc.contributor.authorDias, João
dc.contributor.authorSantos, Pedro A.
dc.contributor.authorPrada, Rui
dc.date.accessioned2022-02-24T11:20:58Z
dc.date.available2022-02-24T11:20:58Z
dc.date.issued2021
dc.description.abstractSocial sharing of emotions (SSE) occurs when one communicates their feelings and reactions to a certain event in the course of a social interaction. The phenomenon is part of our social fabric and plays an important role in creating empathetic responses and establishing rapport. Intelligent social agents capable of SSE will have a mechanism to create and build long-term interaction with humans. In this paper, we present the Emotional Episode Generation (EEG) model, a fine-tuned GPT-2 model capable of generating emotional social talk regarding multiple event tuples in a human-like manner. Human evaluation results show that the model successfully translates one or more event-tuples into emotional episodes, reaching quality levels close to human performance. Furthermore, the model clearly expresses one emotion in each episode as well as humans. To train this model we used a public dataset and built upon it using event extraction techniques(1).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1145/3472306.3478342pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.1/17606
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAssoc Computing Machinerypt_PT
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEmotional text generationpt_PT
dc.subjectSocial agentspt_PT
dc.subjectEvent-to-text generationpt_PT
dc.titleEEG Mode: emotional episode generation for social sharing of emotionspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-COM%2F30787%2F2017/PT
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleIVA '21: Proceedings of the 21st ACM International Conference on Intelligent Virtual Agentspt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
person.familyNameDias
person.givenNameJoão
person.identifier.ciencia-id541C-36A9-F1A0
person.identifier.orcid0000-0002-1653-1821
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscovery66c729e3-99f2-4ddc-8da4-7c66e590800b
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