Helping researchers stay on top of their game

Microsoft Academic be deoxyadenosine monophosphate project explore how to assist human lead scientific research by leverage machine ’ randomness cognitive office indium memory, calculation, sensing, attention, and survival. The inquiry interrogate include :

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• Knowledge acquisition and reasoning: We deploy AI-powered machine readers to process all documents discovered by Bing crawler and extract scholarly entities and their relationships to form a knowledge base. To learn more and access our biweekly graph updates, please visit Microsoft Academic Graph (MAG) and its online documents.
• Semantic search and recommendation: The website, Microsoft Academic (MA), uses the same intelligence in the machine readers to infer query intent and retrieve most relevant knowledge in Microsoft Academic Graph. Like an personal assistant, it can also recommend materials you might not know exist and alert you with the recent publication and late breaking news that you might find interesting.
• Importance assessment and ranking: as needed in reasoning and inferences, the importance of each entity is estimated and quantified. We study reinforcement learning algorithms that can effectively predict community judgments on all entities, using future citations as the delayed reward function.

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