Browse State-of-the-Art › Abstract Meaning Representation
Abstract Meaning Representation
92 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 92 papers with code (219 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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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 Mar 2023 3 repositories listedWe present a novel system for taking social rules of thumb (ROTs) in natural language from the Social Chemistry 101 dataset and converting them to first-order logic where reasoning is performed using a neuro-symbolic…
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29 Jan 2020 3 repositories listedDifferent metrics have been proposed to compare Abstract Meaning Representation (AMR) graphs.
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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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27 Mar 2019 2 repositories listedAMR-to-text generation is a problem recently introduced to the NLP community, in which the goal is to generate sentences from Abstract Meaning Representation (AMR) graphs.
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6 Jun 2017 2 repositories listedWith an ever increasing size of text present on the Internet, automatic summary generation remains an important problem for natural language understanding.
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17 Jun 2025 1 repository listedThe Achilles heel of Large Language Models (LLMs) is hallucination, which has drastic consequences for the clinical domain.
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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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17 Feb 2025 1 repository listedUniform Meaning Representation (UMR) is a recently developed graph-based semantic representation, which expands on Abstract Meaning Representation (AMR) in a number of ways, in particular through the inclusion of…
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19 Nov 2024 1 repository listedWe introduce the Situated Corpus Of Understanding Transactions (SCOUT), a multi-modal collection of human-robot dialogue in the task domain of collaborative exploration.
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19 Nov 2024 1 repository listedIn this paper, we describe the development of symbolic representations annotated on human-robot dialogue data to make dimensions of meaning accessible to autonomous systems participating in collaborative, natural…
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1 Nov 2024 1 repository listedWe conceptualize these political narratives as a type of ontological narratives: stories by which actors position themselves as political beings, and which are akin to political worldviews in which actors present their…
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2 Oct 2024 1 repository listedWe propose FLAG: Financial Long document classification via AMR-based GNN, an AMR graph based framework to generate document-level embeddings for long financial document classification.
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4 Jul 2024 1 repository listedSymbolic sentence meaning representations, such as AMR (Abstract Meaning Representation) provide expressive and structured semantic graphs that act as intermediates that simplify downstream NLP tasks.
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2 May 2024 1 repository listedWe find that it is difficult to predict which input examples AMR may help or hurt on, but errors tend to arise with multi-word expressions, named entities, and in the final inference step where the LLM must connect its…
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2 Apr 2024 1 repository listedKnowledge graphs play a pivotal role in various applications, such as question-answering and fact-checking.
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1 Apr 2024 1 repository listedTrainable evaluation metrics, typically trained with true positive and randomly selected negative responses, tend to assign higher scores to responses that share greater content similarity with a given context.
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29 Feb 2024 1 repository listedThis paper presents a novel Cross-document Abstract Meaning Representation (X-AMR) annotation tool designed for annotating key corpus-level event semantics.
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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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23 Oct 2023 1 repository listedWhile Chain-of-Thought prompting is popular in reasoning tasks, its application to Large Language Models (LLMs) in Natural Language Understanding (NLU) is under-explored.
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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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30 May 2023 1 repository listedMotivated by the fact that all event structures can be inferred from AMR, this work reformulates EAE as a link prediction problem on AMR graphs.
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26 May 2023 1 repository listedHowever, existing generation-based EAE models mostly focus on problem re-formulation and prompt design, without incorporating additional information that has been shown to be effective for classification-based models,…
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26 May 2023 1 repository listedThe Open-Domain Question Answering (ODQA) task involves retrieving and subsequently generating answers from fine-grained relevant passages within a database.
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26 May 2023 1 repository listedParaphrase generation is a long-standing task in natural language processing (NLP).
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21 May 2023 1 repository listedCombining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner.
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23 Apr 2023 1 repository listedThough individual translated texts are often fluent and preserve meaning, at a large scale, translated texts have statistical tendencies which distinguish them from text originally written in the language…
Syntology lines on 3 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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