Browse State-of-the-Art › AMR Parsing
AMR Parsing
51 papers with code · 8 benchmarks · 6 datasets archive 2025-07-28
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.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
6 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 51 papers with code (117 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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26 Apr 2017 5 repositories listedSequence-to-sequence models have shown strong performance across a broad range of applications.
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22 Aug 2016 4 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 3 pointer-only (licence)We describe a transition-based parser for AMR that parses sentences left-to-right, in linear time.
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14 Dec 2021 3 repositories listedAMR parsing has experienced an unprecendented increase in performance in the last three years, due to a mixture of effects including architecture improvements and transfer learning.
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12 Apr 2020 3 repositories listed Syntology ran 17 of 31 samples · 14 unverified · 1 pointer-only (licence)We propose a new end-to-end model that treats AMR parsing as a series of dual decisions on the input sequence and the incrementally constructed graph.
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3 May 2022 2 repositories listedThese alignments are learned separately from parser training and require a complex pipeline of rule-based components, pre-processing, and post-processing to satisfy domain-specific constraints.
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19 Apr 2022 2 repositories listedAs Abstract Meaning Representation (AMR) implicitly involves compound semantic annotations, we hypothesize auxiliary tasks which are semantically or formally related can better enhance AMR parsing.
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15 Mar 2022 2 repositories listed Syntology ran 3 of 5 samples · 2 unverifiedTo our knowledge, we are the first to consider pre-training on semantic graphs.
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26 May 2019 2 repositories listedEvaluating AMR parsing accuracy involves comparing pairs of AMR graphs.
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14 May 2018 2 repositories listedAMR parsing is challenging partly due to the lack of annotated alignments between nodes in the graphs and words in the corresponding sentences.
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28 May 2017 2 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)We evaluate the character-level translation method for neural semantic parsing on a large corpus of sentences annotated with Abstract Meaning Representations (AMRs).
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5 Apr 2016 2 repositories listedThe first extension com-bines the smatch scoring script with the C6.
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13 May 2025 1 repository listedSequence-to-sequence models are widely used to train Abstract Meaning Representation (Banarescu et al., 2013, AMR) parsers.
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4 Oct 2024 1 repository listedCross-lingual AMR parsing is the task of predicting AMR graphs in a target language when training data is available only in a source language.
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6 Dec 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)We present the Granular AMR Parsing Evaluation Suite (GrAPES), a challenge set for Abstract Meaning Representation (AMR) parsing with accompanying evaluation metrics.
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18 Oct 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverifiedTranslation-based AMR parsers have recently gained popularity due to their simplicity and effectiveness.
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13 Oct 2023 1 repository listedAbstract Meaning Representation (AMR) parsing aims to extract an abstract semantic graph from a given sentence.
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23 Jun 2023 1 repository listedAbstract Meaning Representation (AMR) is a Semantic Parsing formalism that aims at providing a semantic graph abstraction representing a given text.
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19 Jun 2023 1 repository listedIn this paper, we examine the current state-of-the-art in AMR parsing, which relies on ensemble strategies by merging multiple graph predictions.
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22 Oct 2022 1 repository listedBased on our observation, we investigate two approaches to reduce the domain distribution divergence of text and AMR features, respectively.
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12 Oct 2022 1 repository listedRecently, astonishing advances have been observed in AMR parsing, as measured by the structural Smatch metric.
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1 Oct 2022 1 repository listedAbstract Meaning Representation (AMR) offers a unified semantic representation for natural language sentences.
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29 Sep 2022 1 repository listedIn this paper, we provide a detailed description of our system at CAMRP-2022 evaluation.
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1 Jun 2022 1 repository listedIn this work, we investigate the similarity of AMR annotations in parallel data and how much the language matters in terms of the graph structure.
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1 Nov 2021 1 repository listedIn particular, one recent seq-to-seq work directly fine-tunes AMR graph sequences on the encoder-decoder pre-trained language model and achieves new state-of-the-art results, outperforming previous works by a large…
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29 Oct 2021 1 repository listedWe provide a detailed comparison with recent progress in AMR parsing and show that the proposed parser retains the desirable properties of previous transition-based approaches, while being simpler and reaching the new…
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18 Oct 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedIn many machine learning tasks, models are trained to predict structure data such as graphs.
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15 Oct 2021 1 repository listedAbstract Meaning Representation (AMR) parsing aims to translate sentences to semantic representation with a hierarchical structure, and is recently empowered by pretrained sequence-to-sequence models.
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30 Sep 2021 1 repository listedWe study multilingual AMR parsing from the perspective of knowledge distillation, where the aim is to learn and improve a multilingual AMR parser by using an existing English parser as its teacher.
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8 Sep 2021 1 repository listedWe introduce ELIT, the Emory Language and Information Toolkit, which is a comprehensive NLP framework providing transformer-based end-to-end models for core tasks with a special focus on memory efficiency while…
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9 Jul 2021 1 repository listedCoupled with biaffine decoders, transformers have been effectively adapted to text-to-graph transduction and achieved state-of-the-art performance on AMR parsing.
Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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