Abstract
We present a novel transition system, based on the Covington non-projective parser, introducing non-local transitions that can directly create arcs involving nodes to the left of the current focus positions. This avoids the need for long sequences of No-Arcs transitions to create long-distance arcs, thus alleviating error propagation. The resulting parser outperforms the original version and achieves the best accuracy on the Stanford Dependencies conversion of the Penn Treebank among greedy transition-based parsers.- Anthology ID:
- N18-2109
- Volume:
- Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marilyn Walker, Heng Ji, Amanda Stent
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 693–700
- Language:
- URL:
- https://aclanthology.org/N18-2109
- DOI:
- 10.18653/v1/N18-2109
- Cite (ACL):
- Daniel Fernández-González and Carlos Gómez-Rodríguez. 2018. Non-Projective Dependency Parsing with Non-Local Transitions. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 693–700, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- Non-Projective Dependency Parsing with Non-Local Transitions (Fernández-González & Gómez-Rodríguez, NAACL 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/N18-2109.pdf