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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10130036%21RIV13-GA0-11320___
rdf:type
n17:Vysledek skos:Concept
dcterms:description
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.
dcterms:title
Optimizing semantic granularity for NLP - report on a lexicographic experiment Optimizing semantic granularity for NLP - report on a lexicographic experiment
skos:prefLabel
Optimizing semantic granularity for NLP - report on a lexicographic experiment Optimizing semantic granularity for NLP - report on a lexicographic experiment
skos:notation
RIV/00216208:11320/12:10130036!RIV13-GA0-11320___
n17:predkladatel
n18:orjk%3A11320
n3:aktivita
n15:P
n3:aktivity
P(GAP406/10/0875), P(GBP103/12/G084), P(LM2010013)
n3:dodaniDat
n21:2013
n3:domaciTvurceVysledku
n7:8241651 n7:1753061 n7:9873112
n3:druhVysledku
n9:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
157017
n3:idVysledku
RIV/00216208:11320/12:10130036
n3:jazykVysledku
n8:eng
n3:klicovaSlova
experiment; lexicographic; report; granularity; semantic; optimizing
n3:klicoveSlovo
n4:semantic n4:experiment n4:granularity n4:optimizing n4:report n4:lexicographic
n3:kontrolniKodProRIV
[6ED7C1B8E84D]
n3:mistoKonaniAkce
Oslo, Norway
n3:mistoVydani
Oslo, Norway
n3:nazevZdroje
Proceedings of the 15th EURALEX International Congress
n3:obor
n22:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n11:GBP103%2F12%2FG084 n11:GAP406%2F10%2F0875 n11:LM2010013
n3:rokUplatneniVysledku
n21:2012
n3:tvurceVysledku
Cinková, Silvie Holub, Martin Kríž, Vincent
n3:typAkce
n12:CST
n3:zahajeniAkce
2012-08-07+02:00
s:numberOfPages
9
n10:hasPublisher
Department of Linguistics and Scandinavian Studies, University of Oslo
n16:isbn
978-82-303-2228-4
n13:organizacniJednotka
11320