Extending the Enhanced Universal Dependencies – addressing subjects in pro-drop languages
Magali Sanches Duran, Elvis A. de Souza, Maria das Graças Volpe Nunes, Adriana Silvina Pagano, Thiago A. S. Pardo
Abstract
Enhanced Universal Dependencies (EUD) serve as a crucial link between syntax and semantics. Beyond basic syntactic dependencies, EUD provides valuable refined logical connections for downstream tasks such as semantic role labeling, coreference resolution, information extraction, and question answering. The original EUD framework defines six types of relationships, but this paper introduces an extension designed to address subject propagation in pro-drop languages. This “Extended EUD” proposal increases the number of relationships that may be annotated in sentences, improving linguistic representation. Additionally, we report our experiments on a corpus of Portuguese (a pro-drop language), which we make publicly available to the research community.- Anthology ID:
- 2025.udw-1.16
- Volume:
- Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025)
- Month:
- August
- Year:
- 2025
- Address:
- Ljubljana, Slovenia
- Editors:
- Gosse Bomma, Çağrı Çöltekin
- Venues:
- UDW | WS | SyntaxFest
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 143–152
- Language:
- URL:
- https://preview.aclanthology.org/mtsummit-25-ingestion/2025.udw-1.16/
- DOI:
- Cite (ACL):
- Magali Sanches Duran, Elvis A. de Souza, Maria das Graças Volpe Nunes, Adriana Silvina Pagano, and Thiago A. S. Pardo. 2025. Extending the Enhanced Universal Dependencies – addressing subjects in pro-drop languages. In Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest 2025), pages 143–152, Ljubljana, Slovenia. Association for Computational Linguistics.
- Cite (Informal):
- Extending the Enhanced Universal Dependencies – addressing subjects in pro-drop languages (Sanches Duran et al., UDW-SyntaxFest 2025)
- PDF:
- https://preview.aclanthology.org/mtsummit-25-ingestion/2025.udw-1.16.pdf