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  • Experiments with semantic annotation based on the Corpus pattern Analysis and the lexical resource PDEV (Hanks and Pustejovsky, 2005), revealed a need of an evaluation measure that would identify the optimum relation between the semantic granularity of the semantic categories in the description of a verb and the reliability of the annotation expressed by the interannotator agreement (IAA). We have introduced the Reliable Information Gain (RG), which computes this relation for each tag selected by the annotators and relates it to the entry as a whole, suggesting merges of unreliable tags whenever it would increase the information gain of the entire tagset (the number of semantic categories in an entry). The merges suggested in our 19-verb sample correspond with common sense. One of the possible applications of this measure is quality management of the entries in a lexical resource.
  • Experiments with semantic annotation based on the Corpus pattern Analysis and the lexical resource PDEV (Hanks and Pustejovsky, 2005), revealed a need of an evaluation measure that would identify the optimum relation between the semantic granularity of the semantic categories in the description of a verb and the reliability of the annotation expressed by the interannotator agreement (IAA). We have introduced the Reliable Information Gain (RG), which computes this relation for each tag selected by the annotators and relates it to the entry as a whole, suggesting merges of unreliable tags whenever it would increase the information gain of the entire tagset (the number of semantic categories in an entry). The merges suggested in our 19-verb sample correspond with common sense. One of the possible applications of this measure is quality management of the entries in a lexical resource. (en)
Title
  • Optimizing semantic granularity for NLP - report on a lexicographic experiment
  • Optimizing semantic granularity for NLP - report on a lexicographic experiment (en)
skos:prefLabel
  • Optimizing semantic granularity for NLP - report on a lexicographic experiment
  • Optimizing semantic granularity for NLP - report on a lexicographic experiment (en)
skos:notation
  • RIV/00216208:11320/12:10130036!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP406/10/0875), P(GBP103/12/G084), P(LM2010013)
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
  • 157017
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/12:10130036
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • experiment; lexicographic; report; granularity; semantic; optimizing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6ED7C1B8E84D]
http://linked.open...v/mistoKonaniAkce
  • Oslo, Norway
http://linked.open...i/riv/mistoVydani
  • Oslo, Norway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 15th EURALEX International Congress
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
  • Department of Linguistics and Scandinavian Studies, University of Oslo
https://schema.org/isbn
  • 978-82-303-2228-4
http://localhost/t...ganizacniJednotka
  • 11320
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