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dc.contributor.author Bonn, Julia
dc.contributor.author Ching-wen, Chen
dc.contributor.author Cowell, James Andrew
dc.contributor.author Croft, William
dc.contributor.author Denk, Lukas
dc.contributor.author Hajič, Jan
dc.contributor.author Lai, Kenneth
dc.contributor.author Palmer, Martha
dc.contributor.author Palmer, Alexis
dc.contributor.author Pustejovsky, James
dc.contributor.author Sun, Haibo
dc.contributor.author Vallejos Yopán, Rosa
dc.contributor.author Van Gysel, Jens
dc.contributor.author Vigus, Meagan
dc.contributor.author Xue, Nianwen
dc.contributor.author Zhao, Jin
dc.date.accessioned 2023-08-29T11:47:29Z
dc.date.available 2023-08-29T11:47:29Z
dc.date.issued 2023-07-31
dc.identifier.uri http://hdl.handle.net/11234/1-5198
dc.description The goal of the Uniform Meaning Representation (UMR) project is to design a meaning representation that can be used 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. UMR is intended to be scalable, learnable, and cross-linguistically plausible. It is designed to support both lexical and logical inference.
dc.language.iso zho
dc.language.iso arp
dc.language.iso eng
dc.language.iso cod
dc.language.iso nav
dc.language.iso spn
dc.publisher UMR Consortium
dc.relation.isreferencedby https://link.springer.com/article/10.1007/s13218-021-00722-w
dc.rights Uniform Meaning Representation v1.0 License Agreement
dc.rights.uri https://lindat.mff.cuni.cz/repository/xmlui/page/license-umr-1.0
dc.source.uri https://umr4nlp.github.io/web/index.html
dc.subject uniform meaning representation
dc.subject semantics
dc.title Uniform Meaning Representation
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
demo.uri https://umr4nlp.github.io/web/index.html
contact.person Jin Zhao jinzhao@brandeis.edu Brandeis University
sponsor National Science Foundation Awards No. 1763926, 1764048, 1764091 Building a Uniform Meaning Representation for Natural Language Processing Other
sponsor National Science Foundation Awards No. 2213804, 2213805 Building a Broad Infrastructure for Uniform Meaning Representations Other
size.info 30 articles
size.info 2186 sentences
size.info 22915 tokens
size.info 17145 concepts
files.size 3169280
files.count 1


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  • umr-v1.0
    • english
      • english_umr-0003.txt9 kB
      • english_umr-0005.txt50 kB
      • README.md499 B
      • english_umr-0002.txt1 kB
      • english_umr-0004.txt85 kB
      • english_umr-0001.txt46 kB
    • sanapana
      • sanapana_umr-0002.txt100 kB
      • sanapana_umr-0004.txt124 kB
      • README.md746 B
      • sanapana_umr-0006.txt98 kB
      • sanapana_umr-0001.txt105 kB
      • sanapana_umr-0003.txt127 kB
      • sanapana_umr-0005.txt94 kB
    • chinese
      • chinese_umr-0001.txt136 kB
      • chinese_umr-0003.txt86 kB
      • README.md628 B
      • chinese_umr-0005.txt90 kB
      • chinese_umr-0007.txt137 kB
      • chinese_umr-0002.txt160 kB
      • chinese_umr-0004.txt135 kB
      • chinese_umr-0006.txt89 kB
    • arapaho
      • README.md458 B
      • arapaho_umr-0002.txt56 kB
      • arapaho_umr-0004.txt53 kB
      • arapaho_umr-0001.txt195 kB
      • arapaho_umr-0003.txt40 kB
      • arapaho_umr-0005.txt10 kB
    • navajo
      • README.md411 B
      • navajo_umr-0002.txt71 kB
      • navajo_umr-0004.txt303 kB
      • navajo_umr-0001.txt16 kB
      • navajo_umr-0003.txt362 kB
      • navajo_umr-0005.txt157 kB
    • kukama
      • README.md619 B
      • kukama_umr-0002.txt20 kB
      • kukama_umr-0001.txt91 kB

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