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  • This paper describes a novel method of identifying keyness in texts using relational learning. The relational learning is based on Inductive Logic Programing (ILP) in first-order logic. Using this method we can extract first-order logic formulas satisfied in a set of positive examples and not satisfied in a set of negative examples. We tested this method on a collection of Shakespeare's plays to identify keyness (or aboutness) of particular plays. The research was especially related to Hamlet, Prince of Denmark which was already investigated by Mike Scott. He used his own tool WordSmith, based on wordlists generating. Aim of this paper is to describe another way of automatic identifying keyness and to show that this method can find more comprehensive keyness representation.
  • This paper describes a novel method of identifying keyness in texts using relational learning. The relational learning is based on Inductive Logic Programing (ILP) in first-order logic. Using this method we can extract first-order logic formulas satisfied in a set of positive examples and not satisfied in a set of negative examples. We tested this method on a collection of Shakespeare's plays to identify keyness (or aboutness) of particular plays. The research was especially related to Hamlet, Prince of Denmark which was already investigated by Mike Scott. He used his own tool WordSmith, based on wordlists generating. Aim of this paper is to describe another way of automatic identifying keyness and to show that this method can find more comprehensive keyness representation. (en)
Title
  • Keyness in Shakespeare's Plays
  • Keyness in Shakespeare's Plays (en)
skos:prefLabel
  • Keyness in Shakespeare's Plays
  • Keyness in Shakespeare's Plays (en)
skos:notation
  • RIV/00216224:14330/07:00029025!RIV10-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA407/07/0679)
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
  • 429015
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/07:00029025
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • keyword; keyness; ILP (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [92DF60A3D713]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • 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
  • Materna, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000268015500013
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Masarykova univerzita. Fakulta informatiky
https://schema.org/isbn
  • 978-80-210-4471-5
http://localhost/t...ganizacniJednotka
  • 14330
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