Statistical Parsing of Tree Wrapping Grammars

Tatiana Bladier, Jakub Waszczuk, Laura Kallmeyer


Abstract
We describe an approach to statistical parsing with Tree-Wrapping Grammars (TWG). TWG is a tree-rewriting formalism which includes the tree-combination operations of substitution, sister-adjunction and tree-wrapping substitution. TWGs can be extracted from constituency treebanks and aim at representing long distance dependencies (LDDs) in a linguistically adequate way. We present a parsing algorithm for TWGs based on neural supertagging and A* parsing. We extract a TWG for English from the treebanks for Role and Reference Grammar and discuss first parsing results with this grammar.
Anthology ID:
2020.coling-main.595
Volume:
Proceedings of the 28th International Conference on Computational Linguistics
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
6759–6766
Language:
URL:
https://aclanthology.org/2020.coling-main.595
DOI:
10.18653/v1/2020.coling-main.595
Bibkey:
Cite (ACL):
Tatiana Bladier, Jakub Waszczuk, and Laura Kallmeyer. 2020. Statistical Parsing of Tree Wrapping Grammars. In Proceedings of the 28th International Conference on Computational Linguistics, pages 6759–6766, Barcelona, Spain (Online). International Committee on Computational Linguistics.
Cite (Informal):
Statistical Parsing of Tree Wrapping Grammars (Bladier et al., COLING 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.coling-main.595.pdf
Code
 taniabladier/statistical_twg_parsing