Alibaba AI Scores Higher than Human in a Q&A Task


An AI research laboratory attached to Chinese tech giant Alibaba has developed a deep learning model that has scored higher than a human in a complex question and answers task on Microsoft’s machine reading comprehension test, MS MARCO.

MS MARCO is a collection of large scale datasets developed for such deep learning tasks. The dataset includes 1,010,916 user queries to Microsoft’s search engine Bing, and 182,669 natural language answers.

The Alibaba DAMO Academy Language Technology Lab focusses on Natural Language Processing (NLP) used across the Alibaba platform. Its deep learning model also took the top position when tested

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