About: Verbal Valency Frame Detection and Selection in Czech and English

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://acl2014.org/acl2014/W14-29/pdf/W14-2902.pdf
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. (en)
Title	Verbal Valency Frame Detection and Selection in Czech and English Verbal Valency Frame Detection and Selection in Czech and English (en)
skos:prefLabel	Verbal Valency Frame Detection and Selection in Czech and English Verbal Valency Frame Detection and Selection in Czech and English (en)
skos:notation	RIV/00216208:11320/14:10289368!RIV15-MSM-11320___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GP13-03351P), P(LH12093), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Hajič, Jan Dušek, Ondřej Urešová, Zdeňka
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	53180
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/14:10289368
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	english; czech; selection; detection; frame; valency; verbal (en)
http://linked.open.../riv/klicoveSlovo	english detection selection czech frame valency verbal
http://linked.open...ontrolniKodProRIV	[FD2F7A51C564]
http://linked.open...v/mistoKonaniAkce	Baltimore, MD, USA
http://linked.open...i/riv/mistoVydani	Stroudsburg, PA, USA
http://linked.open...i/riv/nazevZdroje	The 2nd Workshop on EVENTS: Definition, Detection, Coreference, and Representation
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Srovnání české a anglické valence sloves na základě korpusového materiálu (teorie a praxe) Machine Translation using automatically acquired semantic information (Richer Representations for Machine Translation)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Hajič, Jan Dušek, Ondřej Urešová, Zdeňka
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-06-27 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Association for Computational Linguistics
https://schema.org/isbn	978-1-941643-14-3
http://localhost/t...ganizacniJednotka	11320

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