Uniform Meaning Representation

  Authors

Bonn, Julia ; et al.show everyone

Bonn, Julia ; Ching-wen, Chen ; Cowell, James Andrew ; Croft, William ; Denk, Lukas ; Hajič, Jan ; Lai, Kenneth ; Palmer, Martha ; Palmer, Alexis ; Pustejovsky, James ; Sun, Haibo ; Vallejos Yopán, Rosa ; Van Gysel, Jens ; Vigus, Meagan ; Xue, Nianwen ; Zhao, Jin

  Item identifier

http://hdl.handle.net/11234/1-5198

 Project URL

https://umr4nlp.github.io/web/index.html

 Demo URL

https://umr4nlp.github.io/web/index.html

 Referenced by

https://link.springer.com/article/10.1007/s13218-021-00722-w

 Date issued

2023-07-31

 Type

corpus, text

 Size

30 articles, 2186 sentences, 22915 tokens, 17145 concepts

 Language(s)

Arapaho , Chinese , Cocama-Cocamilla , English , Navajo , Sanapaná

 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.

 Publisher

UMR Consortium

 Acknowledgement

National Science Foundation

Project code: Awards No. 1763926, 1764048, 1764091

Project name: Building a Uniform Meaning Representation for Natural Language Processing

 

National Science Foundation

Project code: Awards No. 2213804, 2213805

Project name: Building a Broad Infrastructure for Uniform Meaning Representations

 Subject(s)

uniform meaning representation semantics

 Collection(s)

LINDAT / CLARIAH-CZ Data & Tools

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