Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.0)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F17%3A10372362" target="_blank" >RIV/00216208:11210/17:10372362 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/17:10372362
Result on the web
<a href="https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2282" target="_blank" >https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2282</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.0)
Original language description
The PARSEME shared task aims at identifying verbal MWEs in running texts. Verbal MWEs include idioms (let the cat out of the bag), light verb constructions (make a decision), verb-particle constructions (give up), and inherently reflexive verbs (se suicider 'to suicide' in French). VMWEs were annotated according to the universal guidelines in 18 languages. The corpora are provided in the parsemetsv format, inspired by the CONLL-U format. For most languages, paired files in the CONLL-U format - not necessarily using UD tagsets - containing parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training and test data, tools and the universal guidelines file.
Czech name
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Czech description
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Classification
Type
R - Software
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/LD14117" target="_blank" >LD14117: Parsing and multi-word expressions. Towards linguistic precision and computational efficiency in natural language processing (PARSEME)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
parseme-st-vmwes-1.0
Technical parameters
Výsledek volně dostupný na adrese https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2282.
Economical parameters
6,3 mil. Kč
Owner IČO
00216208
Owner name
Univerzita Karlova v Praze