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Title: Designing a Uniform Meaning Representation for Natural Language Processing
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.  more » « less
Award ID(s):
1764048
NSF-PAR ID:
10288269
Author(s) / Creator(s):
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Date Published:
Journal Name:
KI - Künstliche Intelligenz
ISSN:
0933-1875
Page Range / eLocation ID:
1-18
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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