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Semantics in High-Dimensional Space
Geometric models are used for modelling meaning in various semantic-space models. They are seductive in their simplicity and their imaginative qualities, and for that reason, their metaphorical power risks leading our intuitions astray: human intuition works well in a three-dimensional world but is overwhelmed by higher dimensionalities. This note is intended to warn about some practical pitfalls of using high-dimensional geometric representation as a knowledge representation and a memory model—challenges that can be met by informed design of the representation and its application.
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Publisher | Frontiers in Artificial Intelligence : Switzerland., 2021 |
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006
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English
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2624-8212
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NONE
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Other Information
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Scopus Q3
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