Named entity annotation of an 18th-century transcribed corpus: problems and challenges

dc.contributor.authorCameron, Helena
dc.contributor.authorOlival, Fernanda
dc.contributor.authorVieira, Renata
dc.contributor.authorSantos, Joaquim
dc.date.accessioned2022-06-02T10:56:03Z
dc.date.available2022-06-02T10:56:03Z
dc.date.issued2022-04
dc.description.abstractThis paper reviews a stage of the process of annotating named entities in 18th-century texts to enrich historical research sources and link them to other bases. The categories in question are person, location and organisation, valid categories for historian analysis. We discuss the difficulties observed in the process and point eventual solutions.por
dc.description.sponsorshipPartially supported by the Portuguese Foundation FCT, under the projects CEECIND/01997/2017 and UIDB/00057/2020.por
dc.identifier.authoremailhelenafc@uevora.pt
dc.identifier.authoremailmfo@uevora.pt
dc.identifier.authoremailrenatav@uevora.pt
dc.identifier.authoremailnd
dc.identifier.citationCameron, H.F., Olival, F., Vieira, R., Neto, J.F.S.: Named entity annotation of an 18th century transcribed corpus: problems, challenges. In: Proceedings of the Second Workshop on Digital Humanities and Natural Language Processing (2nd DHandNLP 2022), co-located with International Conference on the Computational Processing of Portuguese (PROPOR 2022), Virtual Event, Fortaleza, Brazil, 21st March, 2022. CEUR Workshop Proceedings, vol. 3128, pp. 18–25. http://ceur-ws.org/Vol-3128/paper8.pdpor
dc.identifier.scientificarea299por
dc.identifier.urihttp://ceur-ws.org/Vol-3128/paper8.pdf
dc.identifier.urihttp://hdl.handle.net/10174/32163
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherCEURpor
dc.rightsopenAccesspor
dc.subjectDigital Humanitiespor
dc.subjectNamed Entity Recognitionpor
dc.titleNamed entity annotation of an 18th-century transcribed corpus: problems and challengespor
dc.typearticlepor

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
paper8.pdf
Size:
1.89 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.89 KB
Format:
Item-specific license agreed upon to submission
Description: