Assessing the Cross-linguistic Utility of Abstract Meaning Representation

S Wein, N Schneider - Computational Linguistics, 2024 - direct.mit.edu
Semantic representations capture the meaning of a text. Abstract Meaning Representation
(AMR), a type of semantic representation, focuses on predicate-argument structure and …

Abstract meaning representation of Turkish

E Oral, A Acar, G Eryiğit - Natural Language Engineering, 2024 - cambridge.org
Abstract meaning representation (AMR) is a graph-based sentence-level meaning
representation that has become highly popular in recent years. AMR is a knowledge-based …

Spanish Abstract Meaning Representation: Annotation of a general corpus

S Wein, L Donatelli, E Ricker, C Engstrom… - arxiv preprint arxiv …, 2022 - arxiv.org
The Abstract Meaning Representation (AMR) formalism, designed originally for English, has
been adapted to a number of languages. We build on previous work proposing the …

Comparing UMR and cross-lingual adaptations of AMR

S Wein, J Bonn - Proceedings of the 4th International Workshop on …, 2023 - par.nsf.gov
Meaning Representation (AMR) is a popular semantic annotation schema that presents
sentence meaning as a graph while abstracting away from syntax. It was originally designed …

A Corpus of German Abstract Meaning Representation (DeAMR)

C Otto, J Groschwitz, A Koller, X Yang… - Proceedings of the …, 2024 - aclanthology.org
We present the first comprehensive set of guidelines for German Abstract Meaning
Representation (Deutsche AMR, DeAMR) along with an annotated corpus of 400 DeAMR …

Ambiguity and Disagreement in Abstract Meaning Representation

S Wein - Proceedings of Context and Meaning: Navigating …, 2025 - aclanthology.org
Meaning Representation (AMR) is a graph-based semantic formalism which has been
incorporated into a number of downstream tasks related to natural language understanding …

Development and Evaluation of Cross-lingual Abstract Meaning Representation

SB Wein - 2024 - search.proquest.com
Semantic representations, which reflect the meaning of a text, are an important tool for
downstream natural language processing tasks which rely on meaning inference. One type …

Graph-based broad-coverage semantic parsing

C Lyu - 2021 - era.ed.ac.uk
Many broad-coverage meaning representations can be characterized as directed graphs,
where nodes represent semantic concepts and directed edges represent semantic relations …