Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152720
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dc.contributor.authorZhang, Peixiangen_US
dc.contributor.authorWang, Dien_US
dc.contributor.authorLi, Pengfeien_US
dc.contributor.authorZhang, Chenen_US
dc.contributor.authorWang, Haoen_US
dc.contributor.authorMiao, Chunyanen_US
dc.date.accessioned2021-09-29T01:22:46Z-
dc.date.available2021-09-29T01:22:46Z-
dc.date.issued2021-
dc.identifier.citationZhang, P., Wang, D., Li, P., Zhang, C., Wang, H. & Miao, C. (2021). CARE : commonsense-aware emotional response generation with latent concepts. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 35.en_US
dc.identifier.isbn978-1-57735-866-4-
dc.identifier.issn2159-5399-
dc.identifier.otherhttps://ojs.aaai.org/index.php/AAAI/issue/archive-
dc.identifier.urihttps://hdl.handle.net/10356/152720-
dc.description.abstractRationality and emotion are two fundamental elements of humans. Endowing agents with rationality and emotion has been one of the major milestones in AI. However, in the field of conversational AI, most existing models only specialize in one aspect and neglect the other, which often leads to dull or unrelated responses. In this paper, we hypothesize that combining rationality and emotion into conversational agents can improve response quality. To test the hypothesis, we focus on one fundamental aspect of rationality, i.e., commonsense, and propose CARE, a novel model for commonsense-aware emotional response generation. Specifically, we first propose a framework to learn and construct commonsense-aware emotional latent concepts of the response given an input message and a desired emotion. We then propose three methods to collaboratively incorporate the latent concepts into response generation. Experimental results on two large-scale datasets support our hypothesis and show that our model can produce more accurate and commonsense-aware emotional responses and achieve better human ratings than state-of-the-art models that only specialize in one aspect.en_US
dc.description.sponsorshipAI Singaporeen_US
dc.description.sponsorshipMinistry of Health (MOH)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relationAlibaba-NTU-AIR2019B1en_US
dc.relationAISG-GC-2019-003en_US
dc.relationNRF-NRFI05- 2019-0002en_US
dc.relationMOH/NIC/COG04/2017en_US
dc.relationMOH/NIC/HAIG03/2017en_US
dc.rights© 2021 Association for the Advancement of Artificial Intelligence. All Rights Reserved. This paper was published in Proceedings of Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) and is made available with permission of Association for the Advancement of Artificial Intelligence.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.titleCARE : commonsense-aware emotional response generation with latent conceptsen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.conferenceThirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)en_US
dc.contributor.researchAlibaba-NTU Singapore Joint Research Instituteen_US
dc.contributor.researchJoint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY)en_US
dc.description.versionAccepted versionen_US
dc.identifier.volume35en_US
dc.subject.keywordsReponse Qualityen_US
dc.subject.keywordsKnowledge Baseen_US
dc.citation.conferencelocationVirtual Conferenceen_US
dc.description.acknowledgementThis research is supported, in part, by Alibaba Group through Alibaba Innovative Research (AIR) Program and Alibaba-NTU Singapore Joint Research Institute (JRI) (Alibaba-NTU-AIR2019B1), Nanyang Technological Uni- versity, Singapore. This research is also supported, in part, by the National Research Foundation, Prime Minister’s Of- fice, Singapore under its AI Singapore Programme (AISG Award No: AISG-GC-2019-003) and under its NRF Inves- tigatorship Programme (NRFI Award No. NRF-NRFI05- 2019-0002). Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not reflect the views of National Re- search Foundation, Singapore. This research is also sup- ported, in part, by the Singapore Ministry of Health un- der its National Innovation Challenge on Active and Confi- dent Ageing (NIC Project No. MOH/NIC/COG04/2017 and MOH/NIC/HAIG03/2017).en_US
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