Abstract
Semantic representation is receiving growing attention in NLP in the past few years, and many proposals for semantic schemes (e.g., AMR, UCCA, GMB, UDS) have been put forth. Yet, little has been done to assess the achievements and the shortcomings of these new contenders, compare them with syntactic schemes, and clarify the general goals of research on semantic representation. We address these gaps by critically surveying the state of the art in the field.- Anthology ID:
- P17-1008
- Volume:
- Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- July
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Regina Barzilay, Min-Yen Kan
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 77–89
- Language:
- URL:
- https://aclanthology.org/P17-1008
- DOI:
- 10.18653/v1/P17-1008
- Cite (ACL):
- Omri Abend and Ari Rappoport. 2017. The State of the Art in Semantic Representation. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 77–89, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- The State of the Art in Semantic Representation (Abend & Rappoport, ACL 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/P17-1008.pdf
- Data
- FrameNet, QA-SRL, Universal Dependencies