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Description
  • In this paper, we analyze the situation of long sequences of mostly capitalized words which look like a named entity but in fact they consist of several named entities. An example of such phenomena is hokejista (hockey player) New York Rangers Jaromír Jágr. Without splitting the sequence correctly, we will wrongly assume that the whole capitalized sequence is a name of the hockey player. To find out how the sequence should be split into the correct named entities, we tested several methods. These methods are based on the frequencies of the words they consist of and their n-grams. The method DIFF-2 proposed in this article obtained much better results than MI-score or logDice
  • In this paper, we analyze the situation of long sequences of mostly capitalized words which look like a named entity but in fact they consist of several named entities. An example of such phenomena is hokejista (hockey player) New York Rangers Jaromír Jágr. Without splitting the sequence correctly, we will wrongly assume that the whole capitalized sequence is a name of the hockey player. To find out how the sequence should be split into the correct named entities, we tested several methods. These methods are based on the frequencies of the words they consist of and their n-grams. The method DIFF-2 proposed in this article obtained much better results than MI-score or logDice (en)
Title
  • Separating Named Entities
  • Separating Named Entities (en)
skos:prefLabel
  • Separating Named Entities
  • Separating Named Entities (en)
skos:notation
  • RIV/00216224:14330/14:00077517!RIV15-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LG13010), S
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
  • 44510
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/14:00077517
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • text corpus; mutual information; named entities (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [33DC228238E5]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Eighth Workshop on Recent Advances in Slavonic Natural Language Processing
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
  • Grác, Marek
  • Ulipová, Barbora
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2336-4289
number of pages
http://purl.org/ne...btex#hasPublisher
  • Tribun EU
http://localhost/t...ganizacniJednotka
  • 14330
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