Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing
Not on the map. Why?
Abstract (arXiv)
We present a simple encoding for unlabeled noncrossing graphs and show how its latent counterpart helps us to represent several families of directed and undirected graphs used in syntactic and semantic parsing of natural language as context-free languages. The families are separated purely on the basis of forbidden patterns in latent encoding, eliminating the need to differentiate the families of non-crossing graphs in inference algorithms: one algorithm works for all when the search space can be controlled in parser input.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jun 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1; 2025: 1.
4 papers.
- 2021Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsingcited by 7
- 2023Assessment of Pre-Trained Models Across Languages and Grammarscited by 2
- 2024Dependency Graph Parsing as Sequence Labelingcited by 2
- 2025Hierarchical Bracketing Encodings for Dependency Parsing as Taggingcited by 1
- 2025Hierarchical Bracketing Encodings for Dependency Parsing as Tagging16 May 2025
- 2024Dependency Graph Parsing as Sequence Labeling23 Oct 2024
- 2023Assessment of Pre-Trained Models Across Languages and Grammars20 Sep 2023
- 2021Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing17 Aug 2021