Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis — not to ...

The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 (negative review) or class 1 (positive review). This ...

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Google AI has open-sourced A Lite Bert (ALBERT), a deep-learning natural language processing (NLP) model, which uses 89% fewer parameters than the state-of-the-art BERT model, with little loss of ...

Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make decisions ...

How to Fine-Tune a Transformer Architecture NLP Model The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 ...