mlsanityData to 7 Oct 2026

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance

arXiv 1806.04168 ↗First posted 11 Jun 2018cs.CL cs.AI cs.LGcited by 32

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Abstract (arXiv)

In this work, we propose a novel constituency parsing scheme. The model predicts a vector of real-valued scalars, named syntactic distances, for each split position in the input sentence. The syntactic distances specify the order in which the split points will be selected, recursively partitioning the input, in a top-down fashion. Compared to traditional shift-reduce parsing schemes, our approach is free from the potential problem of compounding errors, while being faster and easier to parallelize. Our model achieves competitive performance amongst single model, discriminative parsers in the PTB dataset and outperforms previous models in the CTB dataset.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jun 2018.

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Citing papers per year: 2021: 10; 2022: 12; 2023: 4; 2024: 5; 2025: 1.

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  1. 2023Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothingcited by 67
  2. 2022What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Codecited by 50
  3. 2021Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networkscited by 21
  4. 2022AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language modelscited by 16
  5. 2022Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representationcited by 14
  6. 2021Controllable Video Captioning with an Exemplar Sentencecited by 9
  7. 2022Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacitiescited by 9
  8. 2021A Conditional Splitting Framework for Efficient Constituency Parsingcited by 7
  9. 2025Linguistic Blind Spots of Large Language Modelscited by 6
  10. 2021Have Attention Heads in BERT Learned Constituency Grammar?cited by 5
  11. 2021Cooperative Self-training of Machine Reading Comprehensioncited by 5
  12. 2021The Limitations of Limited Context for Constituency Parsingcited by 5
20 more
  1. 2024Graph Parsing Networkscited by 4
  2. 2022Syntax-guided Localized Self-attention by Constituency Syntactic Distancecited by 3
  3. 2021Generating CCG Categoriescited by 2
  4. 2022Emergent Linguistic Structures in Neural Networks are Fragilecited by 2
  5. 2022AsPOS: Assamese Part of Speech Tagger using Deep Learning Approachcited by 2
  6. 2023StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structurecited by 2
  7. 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspectivecited by 2
  8. 2024Part-of-Speech Tagger for Bodo Language using Deep Learning approachcited by 2
  9. 2021In-Order Chart-Based Constituent Parsingcited by 1
  10. 2021Neural Combinatory Constituency Parsingcited by 1
  11. 2022Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Modelscited by 1
  12. 2022Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsingcited by 1
  13. 2023Language Cognition and Language Computation -- Human and Machine Language Understandingcited by 1
  14. 2021Unsupervised Full Constituency Parsing with Neighboring Distribution Divergencecited by 0
  15. 2022Unsupervised and Few-shot Parsing from Pretrained Language Modelscited by 0
  16. 2022Order-sensitive Neural Constituency Parsingcited by 0
  17. 2022Joint Chinese Word Segmentation and Span-based Constituency Parsingcited by 0
  18. 2024Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsingcited by 0
  19. 2024On Eliciting Syntax from Language Models via Hashingcited by 0
  20. 2024Leveraging Grammar Induction for Language Understanding and Generationcited by 0