Uniform Meaning Representation

Title:

Uniform Meaning Representation

Creator:

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, and Zhao, Jin

Contributor:

National Science Foundation@@Awards No. 1763926, 1764048, 1764091@@Building a Uniform Meaning Representation for Natural Language Processing@@Other@@ and National Science Foundation@@Awards No. 2213804, 2213805@@Building a Broad Infrastructure for Uniform Meaning Representations@@Other@@

Publisher:

UMR Consortium

Identifier:

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

Subject:

uniform meaning representation and semantics

Type:

text and corpus

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.

Language:

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

Rights:

Uniform Meaning Representation v1.0 License Agreement
https://lindat.mff.cuni.cz/repository/xmlui/page/license-umr-1.0
PUB

Relation:

https://umr4nlp.github.io/web/index.html
https://link.springer.com/article/10.1007/s13218-021-00722-w

Source:

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

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2023-07-31