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Description
  • Low interannotator agreement (IAA) is a well-known issue in manual semantic tagging (sense tagging). IAA correlates with the granularity of word senses and they both correlate with the amount of information they give as well as with its reliability. We compare different approaches to semantic tagging in WordNet, FrameNet, Prop- Bank and OntoNotes with a small tagged data sample based on the Corpus Pattern Analysis to present the reliable information gain (RG), a measure used to optimize the semantic granularity of a sense inventory with respect to its reliability indicated by the IAA in the given data set. RG can also be used as feedback for lexicographers, and as a supporting component of automatic semantic classifiers, especially when dealing with a very fine-grained set of semantic categories.
  • Low interannotator agreement (IAA) is a well-known issue in manual semantic tagging (sense tagging). IAA correlates with the granularity of word senses and they both correlate with the amount of information they give as well as with its reliability. We compare different approaches to semantic tagging in WordNet, FrameNet, Prop- Bank and OntoNotes with a small tagged data sample based on the Corpus Pattern Analysis to present the reliable information gain (RG), a measure used to optimize the semantic granularity of a sense inventory with respect to its reliability indicated by the IAA in the given data set. RG can also be used as feedback for lexicographers, and as a supporting component of automatic semantic classifiers, especially when dealing with a very fine-grained set of semantic categories. (en)
Title
  • Managing Uncertainty in Semantic Tagging
  • Managing Uncertainty in Semantic Tagging (en)
skos:prefLabel
  • Managing Uncertainty in Semantic Tagging
  • Managing Uncertainty in Semantic Tagging (en)
skos:notation
  • RIV/00216208:11320/12:10130035!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E09003), P(GBP103/12/G084)
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
  • 148012
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/12:10130035
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • tagging; semantic; uncertainty; managing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1C9F9846C0D6]
http://linked.open...v/mistoKonaniAkce
  • Avignon, France
http://linked.open...i/riv/mistoVydani
  • Avignon, France
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 13th Conference of the European Chapter of the Association for Computational Linguistics
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
  • Cinková, Silvie
  • Holub, Martin
  • Kríž, Vincent
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Association for Computational Linguistics
https://schema.org/isbn
  • 978-1-937284-19-0
http://localhost/t...ganizacniJednotka
  • 11320
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