Document (#40107)

Author
Husevag, A.-S.R.
Title
Named entities in indexing : a case study of TV subtitles and metadata records
Source
Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]
Year
2016
Pages
S.48-58
Series
CEUR workshop proceedings; vol. 1676
Abstract
This paper explores the possible role of named entities in an automatic index-ing process, based on text in subtitles. This is done by analyzing entity types, name den-sity and name frequencies in subtitles and metadata records from different TV programs. The name density in metadata records is much higher than the name density in subtitles, and named entities with high frequencies in the subtitles are more likely to be mentioned in the metadata records. Personal names, geographical names and names of organizations where the most prominent entity types in both the news subtitles and news metadata, while persons, works and locations are the most prominent in culture programs.
Content
Vgl.: http:/ceur-ws.org/Vol-1676/paper6.pdf. Other workshop material incl. presentations are available on the website < https://at-web1.comp.glam.ac.uk/pages/research/hypermedia/nkos/nkos2016/programme.html>.
Theme
Automatisches Indexieren
Metadaten

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