Designing a Uniform Meaning Representation for Natural Language Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440441" target="_blank" >RIV/00216208:11320/21:10440441 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=DbhyM-kVqd" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=DbhyM-kVqd</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s13218-021-00722-w" target="_blank" >10.1007/s13218-021-00722-w</a>
Alternative languages
Result language
angličtina
Original language name
Designing a Uniform Meaning Representation for Natural Language Processing
Original language description
In this paper we present Uniform Meaning Representation (UMR), a meaning representation designed to annotate the semantic content of a text. UMR is primarily based on Abstract Meaning Representation (AMR), an annotation framework initially designed for English, but also draws from other meaning representations. UMR extends AMR to other languages, particularly morphologically complex, low-resource languages. UMR also adds features to AMR that are critical to semantic interpretation and enhances AMR by proposing a companion document-level representation that captures linguistic phenomena such as coreference as well as temporal and modal dependencies that potentially go beyond sentence boundaries.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
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)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
KI - Künstliche Intelligenz [online]
ISSN
1610-1987
e-ISSN
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Volume of the periodical
35
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
18
Pages from-to
1-18
UT code for WoS article
000646089600001
EID of the result in the Scopus database
2-s2.0-85105424243