Maluuba’s Machine Literacy Model Beats Facebook, Google and IBM in CBT and CNN Dataset Tests

MONTREAL, QC–(Marketwired – Jun 8, 2016) – Maluuba, a Canadian deep-learning company helping machines think, reason and communicate with human-like intelligence, today announced it has scored the highest results to date on the premier machine comprehension benchmarks: Facebook’s CBT (Children’s Book Test) dataset and Deepmind’s CNN dataset. Maluuba’s model achieved leading scores of 67.4 percent and 74.0 percent accuracy on the respective datasets, surpassing top results from leaders in the academic Natural Language Processing (NLP) community including Facebook, Google and IBM Watson. Machine comprehension is evaluated by posing a set of questions based on a text passage, then scoring a system’s answers for accuracy. The CBT and CNN datasets are the new benchmarks for testing the role of memory and context in language processing and understanding. They consist of a…


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