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AMR Parsing
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Each AMR is a single rooted, directed graph. AMRs include PropBank semantic roles, within-sentence coreference, named entities and types, modality, negation, questions, quantities, and so on. See.
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Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite
AMR Parsing with Causal Hierarchical Attention and Pointers
Guiding AMR Parsing with Reverse Graph Linearization
Incorporating Graph Information in Transformer-based AMR Parsing
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing
Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models
Strictly Breadth-First AMR Parsing
Cross-domain Generalization for AMR Parsing
Better Smatch = Better Parser? AMR evaluation is not so simple anymore
A Two-Stage Method for Chinese AMR Parsing
Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings
Inducing and Using Alignments for Transition-based AMR Parsing
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
Spanish Abstract Meaning Representation: Annotation of a General Corpus
Graph Pre-training for AMR Parsing and Generation
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
Ensembling Graph Predictions for AMR Parsing
Hierarchical Curriculum Learning for AMR Parsing
Multilingual AMR Parsing with Noisy Knowledge Distillation
ELIT: Emory Language and Information Toolkit
Levi Graph AMR Parser using Heterogeneous Attention
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments
Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing
Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing
AMR Parsing with Action-Pointer Transformer
Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
Transition-based Parsing with Stack-Transformers
Pushing the Limits of AMR Parsing with Self-Learning
Improving AMR Parsing with Sequence-to-Sequence Pre-training
AMR Parsing via Graph-Sequence Iterative Inference
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