Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
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Abstract (arXiv)
We present a constituency parsing algorithm that, like a supertagger, works by assigning labels to each word in a sentence. In order to maximally leverage current neural architectures, the model scores each word's tags in parallel, with minimal task-specific structure. After scoring, a left-to-right reconciliation phase extracts a tree in (empirically) linear time. Our parser achieves 95.4 F1 on the WSJ test set while also achieving substantial speedups compared to current state-of-the-art parsers with comparable accuracies.
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Apr 2019.
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Citing papers per year: 2021: 2; 2022: 3; 2023: 6; 2024: 2; 2025: 4.
17 papers.
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- 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
- 2023Hexatagging: Projective Dependency Parsing as Taggingcited by 3
- 2025Syntactic Control of Language Models by Posterior Inferencecited by 3
- 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspectivecited by 2
- 2023Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approachcited by 2
- 2023Assessment of Pre-Trained Models Across Languages and Grammarscited by 2
- 2024Dependency Graph Parsing as Sequence Labelingcited by 2
- 2021Neural Combinatory Constituency Parsingcited by 1
- 2022Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsingcited by 1
- 2023An Exploration of Left-Corner Transformationscited by 1
- 2024From Partial to Strictly Incremental Constituent Parsingcited by 1
5 more
- 2025Bringing Emerging Architectures to Sequence Labeling in NLPcited by 1
- 2022Order-sensitive Neural 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
- 2025Bringing Emerging Architectures to Sequence Labeling in NLP30 Sep 2025
- 2025Hierarchical Bracketing Encodings Work for Dependency Graphs11 Sep 2025
- 2025Syntactic Control of Language Models by Posterior Inference8 Jun 2025
- 2025Nested Named Entity Recognition as Single-Pass Sequence Labeling22 May 2025
- 2024Dependency Graph Parsing as Sequence Labeling23 Oct 2024
- 2024From Partial to Strictly Incremental Constituent Parsing5 Feb 2024
- 2023An Exploration of Left-Corner Transformations27 Nov 2023
- 20234 and 7-bit Labeling for Projective and Non-Projective Dependency Trees22 Oct 2023
- 2023Assessment of Pre-Trained Models Across Languages and Grammars20 Sep 2023
- 2023Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach9 Aug 2023
- 2023Hexatagging: Projective Dependency Parsing as Tagging8 Jun 2023
- 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective24 May 2023
5 more
- 2022Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing16 Dec 2022
- 2022On Parsing as Tagging14 Nov 2022
- 2022Order-sensitive Neural Constituency Parsing1 Nov 2022
- 2021Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks11 Oct 2021
- 2021Neural Combinatory Constituency Parsing12 Jun 2021
- 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
- 2023Hexatagging: Projective Dependency Parsing as Taggingcited by 3
- 2025Syntactic Control of Language Models by Posterior Inferencecited by 3
- 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspectivecited by 2
- 2023Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approachcited by 2
- 2023Assessment of Pre-Trained Models Across Languages and Grammarscited by 2
- 2024Dependency Graph Parsing as Sequence Labelingcited by 2
- 2021Neural Combinatory Constituency Parsingcited by 1
- 2022Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsingcited by 1
- 2023An Exploration of Left-Corner Transformationscited by 1
- 2024From Partial to Strictly Incremental Constituent Parsingcited by 1
12 most cited of 17 All 17 (JSON)
- 2025Bringing Emerging Architectures to Sequence Labeling in NLP30 Sep 2025
- 2025Hierarchical Bracketing Encodings Work for Dependency Graphs11 Sep 2025
- 2025Syntactic Control of Language Models by Posterior Inference8 Jun 2025
- 2025Nested Named Entity Recognition as Single-Pass Sequence Labeling22 May 2025
- 2024Dependency Graph Parsing as Sequence Labeling23 Oct 2024
- 2024From Partial to Strictly Incremental Constituent Parsing5 Feb 2024
- 2023An Exploration of Left-Corner Transformations27 Nov 2023
- 20234 and 7-bit Labeling for Projective and Non-Projective Dependency Trees22 Oct 2023
- 2023Assessment of Pre-Trained Models Across Languages and Grammars20 Sep 2023
- 2023Cross-Lingual Constituency Parsing for Middle High German: A Delexicalized Approach9 Aug 2023
- 2023Hexatagging: Projective Dependency Parsing as Tagging8 Jun 2023
- 2023Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective24 May 2023
12 newest of 17 All 17 (JSON)