Semantic Similarity Estimation Using Vector Symbolic Architectures
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3001765
Abstract: For many natural language processing applications, estimating similarity and relatedness between words are key tasks that serve as the basis for classification and generalization. Currently, vector semantic models (VSM) have become a fundamental language modeling… read more here.
Keywords: vector symbolic; similarity estimation; semantic similarity; high dimensional ... See more keywords
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2022.3209104
Abstract: This article reviews recent progress in the development of the computing framework vector symbolic architectures (VSA) (also known as hyperdimensional computing). This framework is well suited for implementation in stochastic, emerging hardware, and it naturally… read more here.
Keywords: vector symbolic; computing framework; hardware; framework ... See more keywords