Papers with Quaternion algebra

1 papers
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks (P19-1)

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Challenge: Existing models for natural language processing are heavily parameterized and memory inefficient.
Approach: They propose a series of lightweight and memory efficient neural architectures for NLP tasks . they propose quaternion algebra and hypercomplex spaces for computation .
Outcome: The proposed models enable expressive inter-component interactions and significantly reduce parameter size without loss of performance.

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