SOTAVerified

AMR Parsing

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.

Papers

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Showing 1–50 of 117 papers

TitleStatusHype
AMR Parsing with Action-Pointer TransformerCode1
XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning TechniquesCode1
Improving AMR Parsing with Sequence-to-Sequence Pre-trainingCode1
A Two-Stage Method for Chinese AMR ParsingCode1
AMR Parsing via Graph-Sequence Iterative InferenceCode1
Ensembling Graph Predictions for AMR ParsingCode1
SemBleu: A Robust Metric for AMR Parsing EvaluationCode1
Cross-domain Generalization for AMR ParsingCode1
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex PipelineCode1
ELIT: Emory Language and Information ToolkitCode1
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRsCode1
Hierarchical Curriculum Learning for AMR ParsingCode1
Graph Pre-training for AMR Parsing and GenerationCode1
Multilingual AMR Parsing with Noisy Knowledge DistillationCode1
Levi Graph AMR Parser using Heterogeneous AttentionCode1
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR AlignmentsCode1
An Incremental Parser for Abstract Meaning RepresentationCode1
AMR Parsing as Sequence-to-Graph TransductionCode1
Incorporating EDS Graph for AMR Parsing—0
Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation—0
JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference—0
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser—0
An Improved Approach for Semantic Graph Composition with CCG—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
AMR Parsing using Stack-LSTMs—0
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing—0
ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network—0
基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)—0
An empirical evaluation of AMR parsing for legal documents—0
Getting the Most out of AMR Parsing—0
Graph Algebraic Combinatory Categorial Grammar—0
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing—0
AMR Parsing with Latent Structural Information—0
Abstract Meaning Representation for Paraphrase Detection—0
Graph Pre-training for AMR Parsing and Generation—0
Broad-Coverage Semantic Parsing as Transduction—0
Broad-coverage CCG Semantic Parsing with AMR—0
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models—0
Builder, we have done it: Evaluating & Extending Dialogue-AMR NLU Pipeline for Two Collaborative Domains—0
CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser—0
CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search—0
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss—0
Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers—0
Constructing Web-Accessible Semantic Role Labels and Frames for Japanese as Additions to the NPCMJ Parsed Corpus—0
AMRize, then Parse! Enhancing AMR Parsing with PseudoAMR Data—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Addressing the Data Sparsity Issue in Neural AMR Parsing—0
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing—0
Better Transition-Based AMR Parsing with a Refined Search Space—0
AMR Parsing with an Incremental Joint Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1StructBART + MBSE (IBM)Smatch86.7—Unverified
2Graphene Smatch (IBM)Smatch86.26—Unverified
3LeakDistillSmatch86.1—Unverified
4StructBART + MBSE (IBM)Smatch85.9—Unverified
5Graphene Support (IBM)Smatch85.85—Unverified
6AMRBART largeSmatch85.4—Unverified
7ATP-SRL (Ensemble)Smatch85.3—Unverified
8ATP-SRLSmatch85.2—Unverified
9StructBART-J (IBM)Smatch84.7—Unverified
10BiBL+SilverSmatch84.7—Unverified
#ModelMetricClaimedVerifiedStatus
1APT (IBM)F1 Full78.5—Unverified
2stack-Transformer + self-learning (IBM)F1 Full78.2—Unverified
3AMR Parsing via Graph-Sequence Iterative InferenceF1 Full75.4—Unverified
4Broad-Coverage Semantic Parsing as TransductionF1 Full71.3—Unverified
5Two-stage Sequence-to-Graph TransducerF1 Full70.2—Unverified
6Imitation learningF1 Newswire70—Unverified
7Transition-based+improved aligner+ensembleF1 Full68.4—Unverified
8Improved CAMR F1 Full68.1—Unverified
9Transition-based transducerF1 Full66—Unverified
10Incremental joint model F1 Full66—Unverified
#ModelMetricClaimedVerifiedStatus
1Graphene Smatch (MBSE paper) (IBM)Smatch85.4—Unverified
2Graphene Smatch (IBM)Smatch84.87—Unverified
3LeakDistillSmatch84.6—Unverified
4Graphene Support (IBM)Smatch84.41—Unverified
5StructBART + MBSE (IBM)Smatch84.3—Unverified
6AMRBART largeSmatch84.2—Unverified
7ATP-SRLSmatch84—Unverified
8BiBLSmatch83.9—Unverified
9BiBL+SilverSmatch83.5—Unverified
10LeakDistill (base)Smatch83.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Joint modelSmatch73.7—Unverified
2Mul-BiLSTMSmatch70.7—Unverified
3JAMRSmatch67—Unverified
4CAMRSmatch66.5—Unverified
5AMREagerSmatch64—Unverified
6SEQ2SEQ + 20MSmatch62.1—Unverified
#ModelMetricClaimedVerifiedStatus
1StructBART + MBSE (IBM)Smatch66.9—Unverified
2AMRBART largeSmatch63.2—Unverified
3Graphene SmatchSmatch62.8—Unverified
4SPRING DFSSmatch59.7—Unverified
5SPRING DFS + silverSmatch59.5—Unverified
#ModelMetricClaimedVerifiedStatus
1AMRBART largeSmatch76.9—Unverified
2Graphene SmatchSmatch76.32—Unverified
3SPRING DFSSmatch73.7—Unverified
4SPRING DFS + silverSmatch71.8—Unverified
#ModelMetricClaimedVerifiedStatus
1AMRBART largeSmatch79.8—Unverified
2Graphene SmatchSmatch79.52—Unverified
3SPRING DFS + silverSmatch77.5—Unverified
4SPRING DFSSmatch77.3—Unverified