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Who cites «Hexatagging: Projective Dependency Parsing as Tagging»

10 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. Bringing Emerging Architectures to Sequence Labeling in NLP — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Extending omnes flores for the EvaLatin 2026 Dependency Parsing Tasks — 2026 · Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2026) @ LREC 2026
  3. Hierarchical Bracketing Encodings Work for Dependency Graphs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  4. Hierarchical Bracketing Encodings for Dependency Parsing as Tagging — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. Scaling Graph-Based Dependency Parsing with Arc Vectorization and Attention-Based Refinement — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  6. Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs — our card · 2025 · Proceedings of the 18th International Conference on Parsing Technologies (IWPT, SyntaxFest 2025)
  7. Dependency Graph Parsing as Sequence Labeling — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  8. Multi-features Enhanced Multi-task Learning for Vietnamese Treebank Conversion — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)
  9. 4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  10. Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing