Constituent Parsing as Sequence Labeling
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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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Citing papers per year: 2021: 7; 2022: 4; 2023: 4; 2024: 4; 2025: 6; 2026: 1.
26 papers.
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- 2021Paradigm Shift in Natural Language Processingcited by 39
- 2021Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networkscited by 21
- 20234 and 7-bit Labeling for Projective and Non-Projective Dependency Treescited by 8
- 2021A Conditional Splitting Framework for Efficient Constituency Parsingcited by 7
- 2021Discontinuous Grammar as a Foreign Languagecited by 4
- 2022Structure-Unified M-Tree Coding Solver for MathWord Problemcited by 4
- 2025Syntactic Control of Language Models by Posterior Inferencecited by 3
- 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspectivecited by 2
- 2023Assessment of Pre-Trained Models Across Languages and Grammarscited by 2
- 2023On the Challenges of Fully Incremental Neural Dependency Parsingcited by 2
- 2024A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysiscited by 2
- 2024Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSAcited by 2
14 more
- 2024Dependency Graph Parsing as Sequence Labelingcited by 2
- 2025Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMscited by 2
- 2021In-Order Chart-Based Constituent Parsingcited by 1
- 2021Neural Combinatory Constituency Parsingcited by 1
- 2021Splitting EUD graphs into trees: A quick and clatty approachcited by 1
- 2022Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsingcited by 1
- 2024From Partial to Strictly Incremental Constituent Parsingcited by 1
- 2025Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithmscited by 1
- 2025Bringing Emerging Architectures to Sequence Labeling in NLPcited by 1
- 2022Joint Chinese Word Segmentation and Span-based Constituency Parsingcited by 0
- 2022On Parsing as Taggingcited by 0
- 2025Nested Named Entity Recognition as Single-Pass Sequence Labelingcited by 0
- 2025Hierarchical Bracketing Encodings Work for Dependency Graphscited by 0
- 2026Multi-Task Learning by using Contextualized Word Representations for Syntactic Parsing of a Morphologically Rich Languagecited by 0
- 2026Multi-Task Learning by using Contextualized Word Representations for Syntactic Parsing of a Morphologically Rich Language24 Sep 2026
- 2025Bringing Emerging Architectures to Sequence Labeling in NLP30 Sep 2025
- 2025Hierarchical Bracketing Encodings Work for Dependency Graphs11 Sep 2025
- 2025Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs11 Jun 2025
- 2025Syntactic Control of Language Models by Posterior Inference8 Jun 2025
- 2025Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms31 May 2025
- 2025Nested Named Entity Recognition as Single-Pass Sequence Labeling22 May 2025
- 2024Dependency Graph Parsing as Sequence Labeling23 Oct 2024
- 2024Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA23 Jun 2024
- 2024A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis21 Jun 2024
- 2024From Partial to Strictly Incremental Constituent Parsing5 Feb 2024
- 20234 and 7-bit Labeling for Projective and Non-Projective Dependency Trees22 Oct 2023
14 more
- 2023On the Challenges of Fully Incremental Neural Dependency Parsing28 Sep 2023
- 2023Assessment of Pre-Trained Models Across Languages and Grammars20 Sep 2023
- 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective24 May 2023
- 2022Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing16 Dec 2022
- 2022On Parsing as Tagging14 Nov 2022
- 2022Joint Chinese Word Segmentation and Span-based Constituency Parsing3 Nov 2022
- 2022Structure-Unified M-Tree Coding Solver for MathWord Problem22 Oct 2022
- 2021Discontinuous Grammar as a Foreign Language20 Oct 2021
- 2021Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks11 Oct 2021
- 2021Paradigm Shift in Natural Language Processing26 Sep 2021
- 2021A Conditional Splitting Framework for Efficient Constituency Parsing30 Jun 2021
- 2021Splitting EUD graphs into trees: A quick and clatty approach24 Jun 2021
- 2021Neural Combinatory Constituency Parsing12 Jun 2021
- 2021In-Order Chart-Based Constituent Parsing8 Feb 2021
- 2021Paradigm Shift in Natural Language Processingcited by 39
- 2021Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networkscited by 21
- 20234 and 7-bit Labeling for Projective and Non-Projective Dependency Treescited by 8
- 2021A Conditional Splitting Framework for Efficient Constituency Parsingcited by 7
- 2021Discontinuous Grammar as a Foreign Languagecited by 4
- 2022Structure-Unified M-Tree Coding Solver for MathWord Problemcited by 4
- 2025Syntactic Control of Language Models by Posterior Inferencecited by 3
- 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspectivecited by 2
- 2023Assessment of Pre-Trained Models Across Languages and Grammarscited by 2
- 2023On the Challenges of Fully Incremental Neural Dependency Parsingcited by 2
- 2024A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysiscited by 2
- 2024Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSAcited by 2
12 most cited of 26 All 26 (JSON)
- 2026Multi-Task Learning by using Contextualized Word Representations for Syntactic Parsing of a Morphologically Rich Language24 Sep 2026
- 2025Bringing Emerging Architectures to Sequence Labeling in NLP30 Sep 2025
- 2025Hierarchical Bracketing Encodings Work for Dependency Graphs11 Sep 2025
- 2025Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs11 Jun 2025
- 2025Syntactic Control of Language Models by Posterior Inference8 Jun 2025
- 2025Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms31 May 2025
- 2025Nested Named Entity Recognition as Single-Pass Sequence Labeling22 May 2025
- 2024Dependency Graph Parsing as Sequence Labeling23 Oct 2024
- 2024Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA23 Jun 2024
- 2024A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis21 Jun 2024
- 2024From Partial to Strictly Incremental Constituent Parsing5 Feb 2024
- 20234 and 7-bit Labeling for Projective and Non-Projective Dependency Trees22 Oct 2023
12 newest of 26 All 26 (JSON)