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dc.contributor.authorMcGillivray, Barbaraen
dc.contributor.authorPoibeau, Thierryen
dc.contributor.authorRuiz Fabo, Pabloen
dc.date.accessioned2020-08-03T23:31:20Z
dc.date.available2020-08-03T23:31:20Z
dc.identifier.issn1938-4122
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/308727
dc.description.abstractIn spite of the increasingly large textual datasets humanities researchers are confronted with, and the need for automatic tools to extract information from them, we observe a lack of communication and diverging goals between the communities of Natural Language Processing (NLP) and Digital Humanities (DH). This contrasts with the wealth of potential opportunities that could arise from closer collaborations. We argue that more efforts are needed to make NLP tools work for DH datasets so that that NLP research applied to humanities data receives more attention, leading to the development of evaluation approaches tailored towards relevant research questions. This has the potential to bring methodological advances to NLP, while at the same time confronting DH datasets with powerful state-of-the-art techniques.
dc.languageEnglishen
dc.publisherAlliance of Digital Humanities
dc.rightsAttribution-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nd/4.0/
dc.titleDigital Humanities and Natural Language Processing: “Je t’aime... Moi non plus”en
dc.typeArticle
prism.publicationNameDigital Humanities Quarterlyen
dc.identifier.doi10.17863/CAM.55816
dcterms.dateAccepted2020-07-10en
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-07-10en
dc.contributor.orcidMcGillivray, Barbara [0000-0003-3426-8200]
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idAlan Turing Institute (EP/N510129/1)
cam.issuedOnline2020-07-11en
dc.identifier.urlhttp://www.digitalhumanities.org/dhq/vol/14/2/000454/000454.htmlen


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Attribution-NoDerivatives 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NoDerivatives 4.0 International