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Beating Humans in Cognition: A Case for Microsoft Academic
25th April 2017 @ 11:00 am - 12:00 pm
Based on this definition, humans appear to be destined to be surpassed by machines, as machines can be equipped with massive memory with perfect recall, remain attentive with perpetual endurance, and can exercise judgements and reasoning by executing necessary computations in a much faster and precise fashion.
In this talk, Kuansan Wang will describe Microsoft Academic, a research project to create a cognitive agent that can be simultaneously proficient in more than 50,000 fields of study, by reading over more than a century’s worth of scholarly publications from the web.
At the core of the agent is a virtuous cycle, where a machine reader would be aided by a knowledge graph to parse natural language articles and extract salient entities and their relationships that are then fed back to the graph to enrich its coverage. The richer the graph, the better the machine reader can understand the text.
Kuansan will show how the knowledge base, currently at age two, can be publicly accessed, and how the knowledge the agent has accumulated has played a role for Microsoft Research in assessing research impacts and determining the priorities in outreach activities.