Microsoft’s MT-DNN Achieves Human Performance Estimate on General Language Understanding Evaluation (GLUE) Benchmark

Shikha Kaul

Understanding natural language is one of the longest running goals of AI, which can trace back to 1950s when the Turing test defines an “intelligent” machine. In recent years, we have observed promising results in many Natural Language Understanding (NLU) tasks both in academia and industry, as the breakthroughs in deep learning are applied to NLU, such as the BERT model developed by Google in 2018.


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