Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems
By Paul Smolensky. 1990
Subfields: Natural Language Processing, Model Architectures
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Jianfeng Gao
- Paul Smolensky
- K. Erk
- Sebastian Padó
- J. Urgen Schmidhuber
- Tony A. Plate
- Imanol Schlag
- Nebojsa Jojic
In Model Architectures
- Jianfeng Gao
- Imanol Schlag
- Tony A. Plate
- Paul Smolensky
- Nebojsa Jojic
- K. Erk
- Sebastian Padó
- Roland Fernandez
Citations in the corpus
- Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving (2019, methodology): “hidden representation at each cell to approximate the vector embedding of a symbolic structure built from the relations generated by that cell. This embedding is a Tensor-Product Representation (TPR; Smolensky, 1990) in an end-to-end-differentiable TPR system (Schlag & Schmidhuber, 2018; Schmidh”
- A Structured Vector Space Model for Word Meaning in Context (2008, methodology): “Smolensky (1990) uses tensor product to combine two word vectors a and b into a vector c representing the expression a+b.”
- Holographic Reduced Representations: Convolution Algebra for Compositional Distributed Representations (1991, methodology): “Frames can be represented using convolution encoding in an manner analogous to cross products of roles and llers in Hinton 1981] or the frames of DUCS Touretzky and Geva, 1987].”
- Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures (2020, background): “In the domain of language, it has been argued that a factorization of sentence structure into “roles” and “fillers” is required for robust and flexible processing (Smolensky, 1990; Jackendoff, 2002).”
- Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space (2010, unknown): “…2007; Sahlgren et al., 2008) or sophisticated composition methods based on tensor products, quantum logic, etc., that have not yet been empirically tested on large-scale corpus-based semantic space tasks (Clark and Pulman, 2007; Rudolph and Giesbrecht, 2010; Smolensky, 1990; Widdows, 2008).”
- Darwin's mistake: Explaining the discontinuity between human and nonhuman minds (2008, unknown): “…connectionist architectures that are functionally discrete, particular-involving, and syntactically structured without being concatenatively compositional in the sense postulated by the PSS hypothesis (e.g., Plate 1991; Pollack 1990; Smolensky 1990; van Gelder 1990; Wilson et al. 2001).”