Design Principles of Geometric Connectionist Machines
Part of the Studies in Computational Intelligence book series (SCI, volume 910)
- 254 Downloads
In this chapter, we introduce a novel geometric method to precisely spatialize symbolic tree structures onto vector embeddings.
- Erk, K. (2009). Supporting inferences in semantic space: Representing words as regions. In IWCS-8’09 (pp. 104–115). Stroudsburg, PA, USA: Association for Computational Linguistics.Google Scholar
- Fu, R., Guo, J., Qin, B., Che, W., Wang, H., & Liu, T. (2015). Learning semantic hierarchies: A continuous vector space approach. IEEE Transactions on Audio, Speech, and Language Processing, 23(3), 461–471.Google Scholar
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021