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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 51–100 of 117 papers

TitleStatusHype
Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention—0
Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation—0
Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach—0
Pushing the Limits of AMR Parsing with Self-Learning—0
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning—0
RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation—0
Robust Subgraph Generation Improves Abstract Meaning Representation Parsing—0
Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models—0
Semantically Inspired AMR Alignment for the Portuguese Language—0
Semantic Structure Analysis of Noun Phrases using Abstract Meaning Representation—0
SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation—0
Sequence-to-sequence AMR Parsing with Ancestor Information—0
Sequence-to-sequence AMR Parsing with Ancestor Information—0
Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing—0
Spanish Abstract Meaning Representation: Annotation of a General Corpus—0
SPRING Goes Online: End-to-End AMR Parsing and Generation—0
Strictly Breadth-First AMR Parsing—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
Transition-based Abstract Meaning Representation Parsing with Contextual Embeddings—0
Transition-Based Chinese AMR Parsing—0
Transition-based Parsing with Stack-Transformers—0
UCL+Sheffield at SemEval-2016 Task 8: Imitation learning for AMR parsing with an alpha-bound—0
Unsupervised AMR-Dependency Parse Alignment—0
UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing—0
World Knowledge for Abstract Meaning Representation Parsing—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing—0
Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing—0
Getting the Most out of AMR Parsing—0
Graph Algebraic Combinatory Categorial Grammar—0
Graph Pre-training for AMR Parsing and Generation—0
ICL-HD at SemEval-2016 Task 8: Meaning Representation Parsing - Augmenting AMR Parsing with a Preposition Semantic Role Labeling Neural Network—0
Incorporating EDS Graph for AMR Parsing—0
Core Semantic First: A Top-down Approach for AMR ParsingCode0
Stacked AMR Parsing with Silver DataCode0
Dealing with Co-reference in Neural Semantic ParsingCode0
Abstract Meaning Representation Parsing using LSTM Recurrent Neural NetworksCode0
Effect of Source Language on AMR StructureCode0
BiBL: AMR Parsing and Generation with Bidirectional Bayesian LearningCode0
Better Smatch = Better Parser? AMR evaluation is not so simple anymoreCode0
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation SuiteCode0
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text GenerationCode0
Reassessing Graph Linearization for Sequence-to-sequence AMR Parsing: On the Advantages and Limitations of Triple-Based EncodingCode0
Sequence-to-sequence Models for Cache Transition SystemsCode0
A Transition-based Algorithm for Unrestricted AMR ParsingCode0
Guiding AMR Parsing with Reverse Graph LinearizationCode0
A Transition-based Algorithm for AMR ParsingCode0
RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing AccuracyCode0
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All datasetsLDC2017T10LDC2014T12LDC2020T02LDC2015E86BioNew3The Little Prince

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