Abstract
Current symbolic semantic representations proposed to capture the semantics of human language have served well to give us insight in how meaning is expressed. But they are either too complicated for large-scale annotation tasks or lack expressive power to play a role in inference tasks. What we propose is a meaning representation system that it is interlingual, model-theoretic, and variable-free. It divides the labour involved in representing meaning along three levels: concept, roles, and contexts. As natural languages are expressed as sequences of phonemes or words, the meaning representations that we propose are likewise sequential. However, the resulting meaning representations can also be visualised as directed acyclic graphs.- Anthology ID:
- 2023.iwcs-1.20
- Volume:
- Proceedings of the 15th International Conference on Computational Semantics
- Month:
- June
- Year:
- 2023
- Address:
- Nancy, France
- Editors:
- Maxime Amblard, Ellen Breitholtz
- Venue:
- IWCS
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 195–208
- Language:
- URL:
- https://aclanthology.org/2023.iwcs-1.20
- DOI:
- Cite (ACL):
- Johan Bos. 2023. The Sequence Notation: Catching Complex Meanings in Simple Graphs. In Proceedings of the 15th International Conference on Computational Semantics, pages 195–208, Nancy, France. Association for Computational Linguistics.
- Cite (Informal):
- The Sequence Notation: Catching Complex Meanings in Simple Graphs (Bos, IWCS 2023)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/2023.iwcs-1.20.pdf