Abstract
Natural language understanding at the semantic level and independent of language variations is of great practical value. Existing approaches such as semantic role labeling (SRL) and abstract meaning representation (AMR) still have features related to the peculiarities of the particular language. In this work we describe various challenges and possible solutions in designing a semantic representation that is universal across a variety of languages.- Anthology ID:
- W19-3320
- Volume:
- Proceedings of the First International Workshop on Designing Meaning Representations
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Nianwen Xue, William Croft, Jan Hajic, Chu-Ren Huang, Stephan Oepen, Martha Palmer, James Pustejovksy
- Venue:
- DMR
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 177–181
- Language:
- URL:
- https://aclanthology.org/W19-3320
- DOI:
- 10.18653/v1/W19-3320
- Cite (ACL):
- Huaiyu Zhu, Yunyao Li, and Laura Chiticariu. 2019. Towards Universal Semantic Representation. In Proceedings of the First International Workshop on Designing Meaning Representations, pages 177–181, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Towards Universal Semantic Representation (Zhu et al., DMR 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/W19-3320.pdf