Verbal Valency Frame Detection and Selection in Czech and English
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289368" target="_blank" >RIV/00216208:11320/14:10289368 - isvavai.cz</a>
Result on the web
<a href="http://acl2014.org/acl2014/W14-29/pdf/W14-2902.pdf" target="_blank" >http://acl2014.org/acl2014/W14-29/pdf/W14-2902.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Verbal Valency Frame Detection and Selection in Czech and English
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 2nd Workshop on EVENTS: Definition, Detection, Coreference, and Representation
ISBN
978-1-941643-14-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
6-11
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Baltimore, MD, USA
Event date
Jun 27, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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