Towards Deep Universal Dependencies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405561" target="_blank" >RIV/00216208:11320/19:10405561 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/W19-7717.pdf" target="_blank" >https://www.aclweb.org/anthology/W19-7717.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Towards Deep Universal Dependencies
Original language description
Many linguistic theories and annotation frameworks contain a deep-syntactic and/or semantic layer. While many of these frameworks have been applied to more than one language, none of them is anywhere near the number of languages that are covered in Universal Dependencies (UD). In this paper, we present a prototype of Deep Universal Dependencies, a two-speed concept where minimal deep annotation can be derived automatically from surface UD trees, while richer annotation can be added for datasets where appropriate resources are available. We release the Deep UD data in Lindat.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, Syntaxfest 2019)
ISBN
978-1-950737-63-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
144-152
Publisher name
Association for Computational Linguistics
Place of publication
Paris, France
Event location
Paris, France
Event date
Aug 27, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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