mlsanityData to 7 Oct 2026

Head-Driven Phrase Structure Grammar Parsing on Penn Treebank

arXiv 1907.02684 ↗First posted 5 Jul 2019cs.CLcited by 43

Not on the map. Why?

Abstract (arXiv)

Head-driven phrase structure grammar (HPSG) enjoys a uniform formalism representing rich contextual syntactic and even semantic meanings. This paper makes the first attempt to formulate a simplified HPSG by integrating constituent and dependency formal representations into head-driven phrase structure. Then two parsing algorithms are respectively proposed for two converted tree representations, division span and joint span. As HPSG encodes both constituent and dependency structure information, the proposed HPSG parsers may be regarded as a sort of joint decoder for both types of structures and thus are evaluated in terms of extracted or converted constituent and dependency parsing trees. Our parser achieves new state-of-the-art performance for both parsing tasks on Penn Treebank (PTB) and Chinese Penn Treebank, verifying the effectiveness of joint learning constituent and dependency structures. In details, we report 96.33 F1 of constituent parsing and 97.20% UAS of dependency parsing on PTB.

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jul 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 17; 2022: 9; 2023: 6; 2024: 5; 2025: 1; 2026: 5.

43 papers.

Sort:

By area:

  1. 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 457
  2. 2021Differentiable Subset Pruning of Transformer Headscited by 46
  3. 2021Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probingcited by 28
  4. 2021Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networkscited by 21
  5. 2022Acceptability Judgements via Examining the Topology of Attention Mapscited by 19
  6. 2022Nested Named Entity Recognition as Latent Lexicalized Constituency Parsingcited by 14
  7. 2021Dependency Parsing as MRC-based Span-Span Predictioncited by 13
  8. 2021Headed-Span-Based Projective Dependency Parsingcited by 11
  9. 2021A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021cited by 9
  10. 2021Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labellingcited by 8
  11. 2021A Conditional Splitting Framework for Efficient Constituency Parsingcited by 7
  12. 2023Exploring the Landscape of Natural Language Processing Researchcited by 7
31 more
  1. 2022Automatic extraction of materials and properties from superconductors scientific literaturecited by 6
  2. 2021Dependency Parsing with Bottom-up Hierarchical Pointer Networkscited by 5
  3. 2021Combining (second-order) graph-based and headed-span-based projective dependency parsingcited by 5
  4. 2023Transformers as Graph-to-Graph Modelscited by 5
  5. 2024FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extractioncited by 5
  6. 2021Investigating Non-local Features for Neural Constituency Parsingcited by 4
  7. 2021Discontinuous Grammar as a Foreign Languagecited by 4
  8. 2022Syntactic Multi-view Learning for Open Information Extractioncited by 3
  9. 2023Hexatagging: Projective Dependency Parsing as Taggingcited by 3
  10. 2026SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Servingcited by 3
  11. 2021Head-driven Phrase Structure Parsing in O(n3) Time Complexitycited by 2
  12. 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspectivecited by 2
  13. 2023On the Challenges of Fully Incremental Neural Dependency Parsingcited by 2
  14. 2024To be Continuous, or to be Discrete, Those are Bits of Questionscited by 2
  15. 2024An Attempt to Develop a Neural Parser based on Simplified Head-Driven Phrase Structure Grammar on Vietnamesecited by 2
  16. 2021Neural Combinatory Constituency Parsingcited by 1
  17. 2022Dependency-based Mixture Language Modelscited by 1
  18. 2022Lite Unified Modeling for Discriminative Reading Comprehensioncited by 1
  19. 2022Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsingcited by 1
  20. 2021To Understand Representation of Layer-aware Sequence Encoders as Multi-order-graphcited by 0
  21. 2021HYDRA -- Hyper Dependency Representation Attentionscited by 0
  22. 2022Order-sensitive Neural Constituency Parsingcited by 0
  23. 2022On Parsing as Taggingcited by 0
  24. 2023High-order Joint Constituency and Dependency Parsingcited by 0
  25. 2024Thai Universal Dependency Treebankcited by 0
  26. 2024Entity-Aware Biaffine Attention Model for Improved Constituent Parsing with Reduced Entity Violationscited by 0
  27. 2025Dependency Parsing with the Structuralized Prompt Templatecited by 0
  28. 2026Lexicalized Constituency Parsing for Middle Dutch: Low-resource Training and Cross-Domain Generalizationcited by 0
  29. 2026We can still parse using syntactic rulescited by 0
  30. 2026Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsingcited by 0
  31. 2026DPH Parser: A Bottom-Up Grammar-Driven Parser for Joint Constituency and Dependency Analysiscited by 0