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Abstract Meaning Representation

Papers

Showing 101–125 of 219 papers

TitleStatusHype
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation—0
Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.—0
Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing—0
Spanish Abstract Meaning Representation: Annotation of a General Corpus—0
Spatial AMR: Expanded Spatial Annotation in the Context of a Grounded Minecraft Corpus—0
SR-LLM: Rethinking the Structured Representation in Large Language Model—0
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing—0
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing—0
Supervised Syntax-based Alignment between English Sentences and Abstract Meaning Representation Graphs—0
Survey of Abstract Meaning Representation: Then, Now, Future—0
Textual Inference and Meaning Representation in Human Robot Interaction—0
The Logic of AMR: Practical, Unified, Graph-Based Sentence Semantics for NLP—0
Towards a General Abstract Meaning Representation Corpus for Brazilian Portuguese—0
Towards Controllable Natural Language Inference through Lexical Inference Types—0
Towards Turkish Abstract Meaning Representation—0
Towards Universal Semantic Representation—0
Tracing the Genealogies of Ideas with Large Language Model Embeddings—0
Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings—0
Transition-based Parsing with Stack-Transformers—0
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation—0
Unsupervised AMR-Dependency Parse Alignment—0
Unsupervised Paraphrasability Prediction for Compound Nominalizations—0
EAT: a simple and versatile semantic representation format for multi-purpose NLP—0
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation—0
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation—0
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