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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 117 papers

TitleStatusHype
JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference—0
基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)—0
M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks—0
AMR Parsing with Instruction Fine-tuned Pre-trained Language Models—0
AMR Parsing with Latent Structural Information—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation—0
Neural Shift-Reduce CCG Semantic Parsing—0
Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing—0
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
An empirical evaluation of AMR parsing for legal documents—0
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning—0
An Improved Approach for Semantic Graph Composition with CCG—0
RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation—0
AMR Alignment for Morphologically-rich and Pro-drop Languages—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
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing—0
AMRize, then Parse! Enhancing AMR Parsing with PseudoAMR Data—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
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser—0
Strictly Breadth-First AMR Parsing—0
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing—0
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text GenerationCode0
Abstract Meaning Representation Parsing using LSTM Recurrent Neural NetworksCode0
AMR Parsing as Graph Prediction with Latent AlignmentCode0
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation SuiteCode0
AMR Parsing with Causal Hierarchical Attention and PointersCode0
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR ParsingCode0
An AMR Aligner Tuned by Transition-based ParserCode0
A Structured Syntax-Semantics Interface for English-AMR AlignmentCode0
A Transition-based Algorithm for AMR ParsingCode0
A Transition-based Algorithm for Unrestricted AMR ParsingCode0
Better Smatch = Better Parser? AMR evaluation is not so simple anymoreCode0
BiBL: AMR Parsing and Generation with Bidirectional Bayesian LearningCode0
Core Semantic First: A Top-down Approach for AMR ParsingCode0
Dealing with Co-reference in Neural Semantic ParsingCode0
Effect of Source Language on AMR StructureCode0
Guiding AMR Parsing with Reverse Graph LinearizationCode0
Incorporating Graph Information in Transformer-based AMR ParsingCode0
Inducing and Using Alignments for Transition-based AMR ParsingCode0
Show:102550
← PrevPage 2 of 3Next →
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