Turbotodd

Ruminations on tech, the digital media, and some golf thrown in for good measure.

A Powerful Reading

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Chinese tech giant Alibaba’s research unit has said its deep neural netowrk model is the first to beat humans in the Stanford Question Answering Dataset, according to a report from ZDNet.

Alibaba’s research unit, the Institute of Data Science on Technologies, said it had developed a deep learning model that attained a score of 82.44 in Exact Match on the Stanford Question Answering Dataset. Humans had clocked a previous score of 82.304.

More background:

Squad comprised more than 100,000 question-and-answer sets based on more than 500 Wikipedia articles, in which participants were required to build machine-learning models to respond to the questions. These models would be evaluated by Squad, which then would run the model on the test set.
– via ZDNet

Commenting on the Squad score, Alibaba IDST’s chief scientist of natural language processing Si Luo, said: “That means objective questions such as ‘what causes rain’ can now be answered with high accuracy by machines. We believe the technology underneath can be gradually applied to numerous applications such as customer service, museum tutorials, and online responses to medical inquiries from patients, decreasing the need for human input in an unprecedented way.”
– via ZDNet

Written by turbotodd

January 16, 2018 at 9:19 am

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