Publication:

Robustifying sentiment classification by maximally exploiting few counterfactuals

Date

2022
Proceedings Paper
Simple item page Full metadata Statistics
 
dc.contributor.authorDe Raedt, Maarten
dc.contributor.authorGodin, F.
dc.contributor.authorDevelder, Chris
dc.contributor.authorDemeester, Thomas
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.accessioned2024-03-05T08:54:56Z
dc.date.available2022-12-05T10:42:19Z
dc.date.available2024-03-05T08:54:56Z
dc.date.embargo2022-12-31
dc.date.issued2022
dc.identifier.issn/
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40830
dc.source.beginpage11386
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.endpage11400
dc.source.journalN/A
dc.source.numberofpages15
dc.title

Robustifying sentiment classification by maximally exploiting few counterfactuals

dc.typeProceedings paper
dspace.entity.typePublication
Files

Original bundle

Name:
2022.emnlp-main.783.pdf
Size:
957.34 KB
Format:
Adobe Portable Document Format
Description:
Published version
Download
Publication available in collections:
Conference contributions