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Robustifying sentiment classification by maximally exploiting few counterfactuals

dc.contributor.authorDe Raedt, Maarten
dc.contributor.authorGodin, F.
dc.contributor.authorDevelder, Chris
dc.contributor.authorDemeester, Thomas
dc.date.accessioned2024-03-05T08:54:56Z
dc.date.available2022-12-05T10:42:19Z
dc.date.available2024-03-05T08:54:56Z
dc.date.issued2022
dc.identifier.issn/
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40830.2
dc.titleRobustifying sentiment classification by maximally exploiting few counterfactuals
dc.typeProceedings paper
dc.contributor.imecauthorDevelder, Chris
dc.contributor.imecauthorDemeester, Thomas
dc.contributor.orcidimecDevelder, Chris::0000-0003-2707-4176
dc.contributor.orcidimecDemeester, Thomas::0000-0002-9901-5768
dc.date.embargo2022-12-31
dc.source.numberofpages15
dc.source.peerreviewyes
dc.source.beginpage11386
dc.source.endpage11400
dc.source.conferenceEMNLP2022, the Conference on Empirical Methods in Natural Language Processing
dc.source.conferencedate7-11/12/2022
dc.source.conferencelocationAbu Dhabi, UAE
dc.source.journalN/A
imec.availabilityPublished - open access


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220.500.12860/40830.2*2024-03-05T08:50:27Zvalidation by library/open access desk
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