Evaluating the Impact of Text De-Identification on Downstream NLP Tasks

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dc.contributor.authorLothritz, Cedric
dc.contributor.authorLebichot, Bertrand
dc.contributor.authorAllix, Kevin
dc.contributor.authorEzzini, Saad
dc.contributor.authorBissyandé, Tegawendé F.
dc.contributor.authorKlein, Jacques
dc.contributor.authorBoytsov, Andrey
dc.contributor.authorLefebvre, Clément
dc.contributor.authorGoujon, Anne
dc.coverage.temporalMay 22-24, 2023
dc.date.accessioned2023-05-19T07:36:27Z
dc.date.available2023-05-19T07:36:27Z
dc.date.issued2023-05
dc.identifier.issnISSN 1736-6305 (Online)
dc.identifier.urihttp://hdl.handle.net/10062/89862
dc.language.isoenget
dc.publisherUniversity of Tartu Libraryet
dc.relation.ispartofNEALT Proceedings Series, No. 52
dc.relation.ispartofseriesProceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pages 10–16;
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherNoDaLiDa 2023et
dc.titleEvaluating the Impact of Text De-Identification on Downstream NLP Taskset
dc.typeArticleet

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