Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28517
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dc.contributor.authorAlex, Beatriceen_UK
dc.contributor.authorGrover, Claireen_UK
dc.contributor.authorOberlander, Jonen_UK
dc.contributor.authorThompson, Taraen_UK
dc.contributor.authorAnderson, Mirandaen_UK
dc.contributor.authorLoxley, Jamesen_UK
dc.contributor.authorHinrichs, Utaen_UK
dc.contributor.authorZhou, Keen_UK
dc.date.accessioned2019-01-16T17:03:35Z-
dc.date.available2019-01-16T17:03:35Z-
dc.date.issued2017-04-01en_UK
dc.identifier.urihttp://hdl.handle.net/1893/28517-
dc.description.abstractText mining and information visualisation techniques applied to large-scale historical and literary document collections have enabled new types of humanities research. The assumption behind such efforts is often that trends will emerge from the analysis despite errors for individual data points and that noise will be dominated by the signal in the data. However, for some text analysis tasks, the technology is unable to perform as well as domain experts, perhaps because it does not have sufficient world knowledge or metadata available. Yet, the advantage of language processing technology is that it can process at scale, even if not perfectly accurately. Geo-locating literary works is one example where human expert knowledge is invaluable when it comes to distinguishing between candidate works. This was the underlying assumption in Palimpsest, an interdisciplinary digital humanities research project on mining literary Edinburgh. From the outset, the project adopted an assisted curation process whereby the automatic processing of large data collections was combined with manual checking to identify literary works set in Edinburgh. In this article, we introduce the assisted curation process and evaluate how the feedback from literary scholars helped to improve the technology, thereby highlighting the importance of placing humanities research at the core of digital humanities projects.en_UK
dc.language.isoenen_UK
dc.publisherOxford University Press (OUP)en_UK
dc.relationAlex B, Grover C, Oberlander J, Thompson T, Anderson M, Loxley J, Hinrichs U & Zhou K (2017) Palimpsest: Improving Assisted Curation of Loco-specific Literature. Digital Scholarship in the Humanities, 32 (Supplement 1), pp. 4-16. https://doi.org/10.1093/llc/fqw050en_UK
dc.rightsThis is a pre-copyedited, author-produced PDF of an article accepted for publication in Digital Scholarship in the Humanities following peer review. The version of record Alex B, Grover C, Oberlander J, Thompson T, Anderson M, Loxley J, Hinrichs U & Zhou K (2017) Palimpsest: Improving Assisted Curation of Loco-specific Literature. Digital Scholarship in the Humanities, 32 (Supplement 1), pp. 4-16 is available online at: https://doi.org/10.1093/llc/fqw050en_UK
dc.titlePalimpsest: Improving Assisted Curation of Loco-specific Literatureen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1093/llc/fqw050en_UK
dc.citation.jtitleDigital Scholarship in the Humanitiesen_UK
dc.citation.issn2055-768Xen_UK
dc.citation.issn2055-7671en_UK
dc.citation.volume32en_UK
dc.citation.issueSupplement 1en_UK
dc.citation.spage4en_UK
dc.citation.epage16en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderArts and Humanities Research Councilen_UK
dc.citation.date07/11/2016en_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationEdinburgh Napier Universityen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationUniversity of St Andrewsen_UK
dc.contributor.affiliationUniversity of Nottinghamen_UK
dc.identifier.isiWOS:000417904700002en_UK
dc.identifier.wtid1080244en_UK
dc.date.accepted2016-08-24en_UK
dc.date.filedepositdate2019-01-16en_UK
Appears in Collections:Law and Philosophy Journal Articles

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