---
title: "Who cites Tetra-Tagging: Word-Synchronous Parsing with…"
description: "The papers of the Elamur Research library that cite «Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/acl-2020-kitaev-tetra-tagging-word-synchronous-parsing/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/acl-2020-kitaev-tetra-tagging-word-synchronous-parsing/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Tetra-Tagging: Word-Synchronous Parsing with…](https://md.research.elamur.ai/free/en/papers/acl-2020-kitaev-tetra-tagging-word-synchronous-parsing/) / cited by

# Who cites «Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference»

20 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/acl-2020-kitaev-tetra-tagging-word-synchronous-parsing/)

1. [Bringing Emerging Architectures to Sequence Labeling in NLP](https://aclanthology.org/2026.eacl-long.227/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Hierarchical Bracketing Encodings Work for Dependency Graphs](https://aclanthology.org/2025.emnlp-main.447/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
3. [Nested Named Entity Recognition as Single-Pass Sequence Labeling](https://aclanthology.org/2025.findings-emnlp.530/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
4. [Dependency Graph Parsing as Sequence Labeling](https://aclanthology.org/2024.emnlp-main.659/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. [From Partial to Strictly Incremental Constituent Parsing](https://aclanthology.org/2024.eacl-short.21/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
6. [4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees](https://aclanthology.org/2023.emnlp-main.393/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
7. [An Exploration of Left-Corner Transformations](https://aclanthology.org/2023.emnlp-main.827/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
8. [Assessment of Pre-Trained Models Across Languages and Grammars](https://aclanthology.org/2023.ijcnlp-main.23/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Discontinuous Combinatory Constituency Parsing](https://aclanthology.org/2023.tacl-1.16/) *— 2023 · Transactions of the Association for Computational Linguistics*
10. [Hexatagging: Projective Dependency Parsing as Tagging](https://md.research.elamur.ai/free/en/papers/acl-2023-amini-hexatagging-projective-dependency-parsing-as/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
11. [Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective](https://aclanthology.org/2023.emnlp-main.52/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
12. [Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models](https://aclanthology.org/2023.findings-emnlp.19/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
13. [Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks](https://aclanthology.org/2022.acl-long.171/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing](https://arxiv.org/abs/2212.08458) *— 2022 · arXiv:2212.08458*
15. [On Parsing as Tagging](https://aclanthology.org/2022.emnlp-main.607/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
16. [Order-sensitive Neural Constituency Parsing](https://arxiv.org/abs/2211.00421) *— 2022 · arXiv:2211.00421*
17. [Neural Combinatory Constituency Parsing](https://aclanthology.org/2021.findings-acl.194/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
18. [A Unifying Theory of Transition-based and Sequence Labeling Parsing](https://aclanthology.org/2020.coling-main.336/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
19. [Bracketing Encodings for 2-Planar Dependency Parsing](https://aclanthology.org/2020.coling-main.223/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
20. [Efficient Constituency Parsing by Pointing](https://aclanthology.org/2020.acl-main.301/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
