Papers with parallel computation of GPUs

1 papers
FLAT: Chinese NER Using Flat-Lattice Transformer (2020.acl-main)

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Challenge: Named entity recognition (NER) models are difficult to use because of the complex nature of the lattice structure and the low inference speed.
Approach: They propose a character-word lattice structure that converts lattics into flat structures consisting of spans.
Outcome: The proposed model outperforms other lexicon-based models on four datasets and is highly parallel.

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