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Abstract Meaning Representation

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Showing 101–150 of 219 papers

TitleStatusHype
AMRize, then Parse! Enhancing AMR Parsing with PseudoAMR Data—0
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation—0
Graph Pre-training for AMR Parsing and Generation—0
Stacked AMR Parsing with Silver DataCode0
Representing Implicit Positive Meaning of Negated Statements in AMR—0
Explainable Unsupervised Argument Similarity Rating with Abstract Meaning Representation and Conclusion GenerationCode0
Classifying Divergences in Cross-lingual AMR PairsCode0
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR ParsingCode0
Intensionalizing Abstract Meaning Representations: Non-Veridicality and ScopeCode0
StreamSide: A Fully-Customizable Open-Source Toolkit for Efficient Annotation of Meaning RepresentationsCode0
Widely Interpretable Semantic Representation: Frameless Meaning Representation for Broader Applicability—0
Exploiting Reasoning Chains for Multi-hop Science Question AnsweringCode0
Semantic-Based Opinion SummarizationCode0
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text GenerationCode0
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation—0
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing—0
Incorporating EDS Graph for AMR Parsing—0
基于序列到序列的中文AMR解析(Chinese AMR Parsing based on Sequence-to-Sequence Modeling)—0
Making Better Use of Bilingual Information for Cross-Lingual AMR ParsingCode0
Translate, then Parse! A strong baseline for Cross-Lingual AMR ParsingCode0
Builder, we have done it: Evaluating & Extending Dialogue-AMR NLU Pipeline for Two Collaborative Domains—0
ASQ: Automatically Generating Question-Answer Pairs using AMRs—0
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing—0
Polynomial Graph Parsing with Non-Structural Reentrancies—0
Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach—0
Leveraging Abstract Meaning Representation for Knowledge Base Question AnsweringCode0
InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research—0
A Continuation Semantics for Abstract Meaning RepresentationCode0
Predicting Coreference in Abstract Meaning Representations—0
AMR Parsing with Action-Pointer Transformer—0
I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning—0
JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference—0
Semantically Inspired AMR Alignment for the Portuguese Language—0
The Role of Reentrancies in Abstract Meaning Representation ParsingCode0
Pushing the Limits of AMR Parsing with Self-LearningCode0
Transition-based Parsing with Stack-TransformersCode0
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text GenerationCode0
多轮对话的篇章级抽象语义表示标注体系研究(Research on Discourse-level Abstract Meaning Representation Annotation framework in Multi-round Dialogue)—0
Abstract Meaning Representation for MWE: A study of the mapping of aspectuality based on Mandarin light verb jiayi—0
基于抽象语义表示的汉语疑问句的标注与分析(Chinese Interrogative Sentences Annotation and Analysis Based on the Abstract Meaning Representation)—0
Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMRCode0
From Spatial Relations to Spatial Configurations—0
Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus—0
Dialogue-AMR: Abstract Meaning Representation for Dialogue—0
Spatial AMR: Expanded Spatial Annotation in the Context of a Grounded Minecraft Corpus—0
A Human Evaluation of AMR-to-English Generation Systems—0
AMR-To-Text Generation with Graph Transformer—0
Graph Transformer for Graph-to-Sequence LearningCode0
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations—0
Core Semantic First: A Top-down Approach for AMR ParsingCode0
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