Abstract
Distributional semantic models have become a mainstay in NLP, providing useful features for downstream tasks. However, assessing long-term progress requires explicit long-term goals. In this paper, I take a broad linguistic perspective, looking at how well current models can deal with various semantic challenges. Given stark differences between models proposed in different subfields, a broad perspective is needed to see how we could integrate them. I conclude that, while linguistic insights can guide the design of model architectures, future progress will require balancing the often conflicting demands of linguistic expressiveness and computational tractability.- Anthology ID:
- 2020.acl-main.663
- Volume:
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Editors:
- Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 7436–7453
- Language:
- URL:
- https://aclanthology.org/2020.acl-main.663
- DOI:
- 10.18653/v1/2020.acl-main.663
- Cite (ACL):
- Guy Emerson. 2020. What are the Goals of Distributional Semantics?. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7436–7453, Online. Association for Computational Linguistics.
- Cite (Informal):
- What are the Goals of Distributional Semantics? (Emerson, ACL 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.acl-main.663.pdf
- Data
- MultiNLI, SNLI, SemEval-2018 Task-9