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

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 82
  • Download : 0
DC FieldValueLanguage
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.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-
Appears in Collection
CS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0