The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

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dc.contributor.authorNguyen, Giangko
dc.contributor.authorKim, Daeyoungko
dc.contributor.authorNguyen, Anhko
dc.date.accessioned2021-11-09T06:45:20Z-
dc.date.available2021-11-09T06:45:20Z-
dc.date.created2021-11-05-
dc.date.created2021-11-05-
dc.date.issued2021-12-
dc.identifier.citationThirty-fifth Conference on Neural Information Processing Systems, NeurIPS 2021-
dc.identifier.urihttp://hdl.handle.net/10203/288996-
dc.languageEnglish-
dc.publisherNeural Information Processing Systems-
dc.titleThe effectiveness of feature attribution methods and its correlation with automatic evaluation scores-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThirty-fifth Conference on Neural Information Processing Systems, NeurIPS 2021-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorKim, Daeyoung-
dc.contributor.nonIdAuthorNguyen, Giang-
dc.contributor.nonIdAuthorNguyen, Anh-
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CS-Conference Papers(학술회의논문)
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