NAACL

Transfer learning using limited contrastive data improves formality accuracy without compromising performance.

In 2022, the Alexa Trustworthy AI team helped organize a workshop at NAACL and a special session at Interspeech.

Allowing separate tasks to converge on their own schedules and using knowledge distillation to maintain performance improves accuracy.

Industry track chair and Amazon principal research scientist Rashmi Gangadharaiah on trends in industry papers and the challenges of building practical dialogue systems.

New model sets new standard in accuracy while enabling 60-fold speedups.

The breadth and originality of Amazon’s natural-language-processing research are on display at the annual meeting of the North American chapter of the Association for Computational Linguistics.

Relative to human evaluation of question-answering models, the new method has an error rate of only 7%.

Proteno model dramatically increases the efficiency of the first step in text-to-speech conversion.

Amazon Scholar Heng Ji says that deep learning could benefit from the addition of a little linguistic intuition.