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Description
  • Recently, named entity recognition tools tend to disambiguate recognized named entities on a very detailed level. Instead of elementary types (e.g. Person or Location), they assign concrete identifiers, trying to distinguish even different entities having same name and type (e.g. cities with the same name in different countries). We introduce a novel method for this kind of named entity disambiguation exploiting structural dependencies of recognized entities. We analyse the co-occurrence of disambiguated entities in the backing knowledge base and use this information to improve results of existing named entity disambiguation approaches. A model for co-occurrence representation is proposed and evaluated based on a dataset that we mine from Wikipedia.
  • Recently, named entity recognition tools tend to disambiguate recognized named entities on a very detailed level. Instead of elementary types (e.g. Person or Location), they assign concrete identifiers, trying to distinguish even different entities having same name and type (e.g. cities with the same name in different countries). We introduce a novel method for this kind of named entity disambiguation exploiting structural dependencies of recognized entities. We analyse the co-occurrence of disambiguated entities in the backing knowledge base and use this information to improve results of existing named entity disambiguation approaches. A model for co-occurrence representation is proposed and evaluated based on a dataset that we mine from Wikipedia. (en)
Title
  • Context Aware Named Entity Disambiguation
  • Context Aware Named Entity Disambiguation (en)
skos:prefLabel
  • Context Aware Named Entity Disambiguation
  • Context Aware Named Entity Disambiguation (en)
skos:notation
  • RIV/00216208:11320/12:10132023!RIV14-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/10/0761)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 128596
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/12:10132023
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Text Annotation; Linked Data; Named Entity Recognition and Disambiguation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AF502F409D23]
http://linked.open...v/mistoKonaniAkce
  • Macau
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 2012 IEEE/WIC/ACM International Conference on Web Intelligence
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lašek, Ivo
  • Vojtáš, Peter
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/PDCAT.2011.73
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-1-4577-1807-6
http://localhost/t...ganizacniJednotka
  • 11320
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