Vector Symbolic Architectures for Context-Free Grammars
نویسندگان
چکیده
Abstract Vector symbolic architectures (VSA) are a viable approach for the hyperdimensional representation of data, such as documents, syntactic structures, or semantic frames. We present rigorous mathematical framework phrase structure trees and parse context-free grammars (CFG) in Fock space, i.e. infinite-dimensional Hilbert space being used quantum field theory. define novel normal form CFG by means term algebras. Using recently developed software toolbox, called FockBox, we construct representations built up left-corner (LC) parser. prove universal theorem algebras illustrate our findings through low-dimensional principal component projection LC parser state. Our could leverage development VSA explainable artificial intelligence (XAI) deep neural computation.
منابع مشابه
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ژورنال
عنوان ژورنال: Cognitive Computation
سال: 2021
ISSN: ['1866-9964', '1866-9956']
DOI: https://doi.org/10.1007/s12559-021-09974-y