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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F14%3A10289368%21RIV15-MSM-11320___
rdf:type
skos:Concept n22:Vysledek
rdfs:seeAlso
http://acl2014.org/acl2014/W14-29/pdf/W14-2902.pdf
dcterms:description
We present a supervised learning method for verbal valency frame detection and selection, i.e., a specific kind of word sense disambiguation for verbs based on subcategorization information, which amounts to detecting mentions of events in text. We use the rich dependency annotation present in the Prague Dependency Treebanks for Czech and English, taking advantage of several analysis tools (taggers, parsers) developed on these datasets previously. The frame selection is based on manually created lexicons accompanying these treebanks, namely on PDT-Vallex for Czech and EngVallex for English. The results show that verbal predicate detection is easier for Czech, but in the subsequent frame selection task, better results have been achieved for English. We present a supervised learning method for verbal valency frame detection and selection, i.e., a specific kind of word sense disambiguation for verbs based on subcategorization information, which amounts to detecting mentions of events in text. We use the rich dependency annotation present in the Prague Dependency Treebanks for Czech and English, taking advantage of several analysis tools (taggers, parsers) developed on these datasets previously. The frame selection is based on manually created lexicons accompanying these treebanks, namely on PDT-Vallex for Czech and EngVallex for English. The results show that verbal predicate detection is easier for Czech, but in the subsequent frame selection task, better results have been achieved for English.
dcterms:title
Verbal Valency Frame Detection and Selection in Czech and English Verbal Valency Frame Detection and Selection in Czech and English
skos:prefLabel
Verbal Valency Frame Detection and Selection in Czech and English Verbal Valency Frame Detection and Selection in Czech and English
skos:notation
RIV/00216208:11320/14:10289368!RIV15-MSM-11320___
n3:aktivita
n10:S n10:P
n3:aktivity
P(GP13-03351P), P(LH12093), S
n3:dodaniDat
n13:2015
n3:domaciTvurceVysledku
n5:9997180 n5:7440863 n5:9604782
n3:druhVysledku
n17:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
53180
n3:idVysledku
RIV/00216208:11320/14:10289368
n3:jazykVysledku
n16:eng
n3:klicovaSlova
english; czech; selection; detection; frame; valency; verbal
n3:klicoveSlovo
n7:valency n7:czech n7:verbal n7:selection n7:english n7:frame n7:detection
n3:kontrolniKodProRIV
[FD2F7A51C564]
n3:mistoKonaniAkce
Baltimore, MD, USA
n3:mistoVydani
Stroudsburg, PA, USA
n3:nazevZdroje
The 2nd Workshop on EVENTS: Definition, Detection, Coreference, and Representation
n3:obor
n19:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n9:LH12093 n9:GP13-03351P
n3:rokUplatneniVysledku
n13:2014
n3:tvurceVysledku
Dušek, Ondřej Urešová, Zdeňka Hajič, Jan
n3:typAkce
n15:WRD
n3:zahajeniAkce
2014-06-27+02:00
s:numberOfPages
6
n14:hasPublisher
Association for Computational Linguistics
n8:isbn
978-1-941643-14-3
n11:organizacniJednotka
11320