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Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement

arXiv 2003.13118 ↗First posted 29 Mar 2020cs.CL cs.LGcited by 20

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Abstract (arXiv)

We propose the Recursive Non-autoregressive Graph-to-Graph Transformer architecture (RNGTr) for the iterative refinement of arbitrary graphs through the recursive application of a non-autoregressive Graph-to-Graph Transformer and apply it to syntactic dependency parsing. We demonstrate the power and effectiveness of RNGTr on several dependency corpora, using a refinement model pre-trained with BERT. We also introduce Syntactic Transformer (SynTr), a non-recursive parser similar to our refinement model. RNGTr can improve the accuracy of a variety of initial parsers on 13 languages from the Universal Dependencies Treebanks, English and Chinese Penn Treebanks, and the German CoNLL2009 corpus, even improving over the new state-of-the-art results achieved by SynTr, significantly improving the state-of-the-art for all corpora tested.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Mar 2020.

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Citing papers per year: 2021: 5; 2022: 6; 2023: 3; 2024: 3; 2025: 3.

20 papers.

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  1. 2022A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyondcited by 64
  2. 2022RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Questioncited by 17
  3. 2021Dependency Parsing as MRC-based Span-Span Predictioncited by 13
  4. 2022BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsingcited by 13
  5. 2021Headed-Span-Based Projective Dependency Parsingcited by 11
  6. 2021Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labellingcited by 8
  7. 2022Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learningcited by 8
  8. 2022Graph Refinement for Coreference Resolutioncited by 7
  9. 2021Dependency Parsing with Bottom-up Hierarchical Pointer Networkscited by 5
  10. 2021Combining (second-order) graph-based and headed-span-based projective dependency parsingcited by 5
  11. 2023Transformers as Graph-to-Graph Modelscited by 5
  12. 2022Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformerscited by 2
8 more
  1. 2025Toward a Graph Foundation Model: Pre-Training Transformers With Random Walkscited by 2
  2. 2025Order-Level Attention Similarity Across Language Models: A Latent Commonalitycited by 2
  3. 2023GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extractioncited by 1
  4. 2023High-order Joint Constituency and Dependency Parsingcited by 0
  5. 2024Thai Universal Dependency Treebankcited by 0
  6. 2024Fast-and-Frugal Text-Graph Transformers are Effective Link Predictorscited by 0
  7. 2024CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languagescited by 0
  8. 2025Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinementcited by 0