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Briefing
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- Two Training Datasets – Canadian deep learning startup Maluuba released two datasets that can train AI programs to learn reading comprehension and conversational dialogue
- NewsQA Dataset – Has more than 110,000 training questions on reading comprehension taken from CNN news articles, contributed by one group of online workers
- Frames Dataset – Contains 1,368 dialogues based on online chat conversations for booking vacations, challenging algorithms to engage in back-and-forth dialogue, while retaining memory of conversation
- AI Training – Used in training Maluuba's own deep learning algorithms, and made them public to help other researchers improve existing machine comprehension technologies
- Potential Applications – Include smarter personal assistants, online chatbots, and intelligent robots that can match or exceed human intelligence
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