Papers with dual-FOFE

1 papers
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models (D18-1)

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Challenge: In this paper, we propose a new approach to employ the fixed-size ordinally-forgetting encoding (FOFE) in neural languages modelling, called dual-FOFE.
Approach: They propose a new approach to employ the fixed-size ordinally-forgetting encoding (FOFE) in neural languages modelling, called dual-FOFE.
Outcome: The proposed method significantly reduces the complexity and improves perplexity by 10% over the original FOFE model.

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