mlsanityData to 7 Oct 2026

Constituent Parsing as Sequence Labeling

arXiv 1810.08994 ↗First posted 21 Oct 2018cs.CLcited by 26

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Abstract (arXiv)

We introduce a method to reduce constituent parsing to sequence labeling. For each word w_t, it generates a label that encodes: (1) the number of ancestors in the tree that the words w_t and w_{t+1} have in common, and (2) the nonterminal symbol at the lowest common ancestor. We first prove that the proposed encoding function is injective for any tree without unary branches. In practice, the approach is made extensible to all constituency trees by collapsing unary branches. We then use the PTB and CTB treebanks as testbeds and propose a set of fast baselines. We achieve 90.7% F-score on the PTB test set, outperforming the Vinyals et al. (2015) sequence-to-sequence parser. In addition, sacrificing some accuracy, our approach achieves the fastest constituent parsing speeds reported to date on PTB by a wide margin.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Oct 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 4; 2023: 4; 2024: 4; 2025: 6; 2026: 1.

26 papers.

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  1. 2021Paradigm Shift in Natural Language Processingcited by 39
  2. 2021Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networkscited by 21
  3. 20234 and 7-bit Labeling for Projective and Non-Projective Dependency Treescited by 8
  4. 2021A Conditional Splitting Framework for Efficient Constituency Parsingcited by 7
  5. 2021Discontinuous Grammar as a Foreign Languagecited by 4
  6. 2022Structure-Unified M-Tree Coding Solver for MathWord Problemcited by 4
  7. 2025Syntactic Control of Language Models by Posterior Inferencecited by 3
  8. 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspectivecited by 2
  9. 2023Assessment of Pre-Trained Models Across Languages and Grammarscited by 2
  10. 2023On the Challenges of Fully Incremental Neural Dependency Parsingcited by 2
  11. 2024A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysiscited by 2
  12. 2024Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSAcited by 2
14 more
  1. 2024Dependency Graph Parsing as Sequence Labelingcited by 2
  2. 2025Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMscited by 2
  3. 2021In-Order Chart-Based Constituent Parsingcited by 1
  4. 2021Neural Combinatory Constituency Parsingcited by 1
  5. 2021Splitting EUD graphs into trees: A quick and clatty approachcited by 1
  6. 2022Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsingcited by 1
  7. 2024From Partial to Strictly Incremental Constituent Parsingcited by 1
  8. 2025Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithmscited by 1
  9. 2025Bringing Emerging Architectures to Sequence Labeling in NLPcited by 1
  10. 2022Joint Chinese Word Segmentation and Span-based Constituency Parsingcited by 0
  11. 2022On Parsing as Taggingcited by 0
  12. 2025Nested Named Entity Recognition as Single-Pass Sequence Labelingcited by 0
  13. 2025Hierarchical Bracketing Encodings Work for Dependency Graphscited by 0
  14. 2026Multi-Task Learning by using Contextualized Word Representations for Syntactic Parsing of a Morphologically Rich Languagecited by 0