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                          Keynote:
     Distributional Representation of Complex Semantics

                                                Kuansan Wang
                                              Microsoft Research
                                          Kuansan.Wang@microsoft.com




Abstract
Enabling machines with commonsense, the knowledge that virtually every person has, is an important quest
towards artificial general intelligence. In this talk, I’m going to introduce the new initiative on commonsense AI,
Project Alexandria, at Allen Institute for Artificial Intelligence (AI2). I will first describe briefly the vision of this
project and review some of the past research efforts on commonsense knowledge representation and reasoning,
explaining why it is a difficult problem. In order to encourage the community to make progress on commonsense
AI, our focus in the first year of Project Alexandria is to create a large-scale benchmark dataset. I will talk
about our latest work on producing natural commonsense questions by pairing crowd workers to play games,
and share some of the lessons we learned.

Bio
Kuansan Wang is Managing Director and a Principal Researcher from Microsoft Research Outreach in Redmond,
WA. He joined Microsoft Research in 1998, first as a researcher in the Speech Technology Group working on
multimodal dialog system, then as an architect that designed and shipped various speech products, including
the Voice Command on mobile that eventually becomes Cortana, and Microsoft Speech Server that is still
powering Microsoft and partners’ call centers. In 2007, he rejoined Microsoft Research to work on large scale
natural language understanding and web search technologies, and is currently responsible for running the largest
machine reading effort that uses intelligent agents to dynamically acquire knowledge from the web and make it
available to the general public. Kuansan received his BS from National Taiwan University and MS and PhD from
University of Maryland, College Park, respectively, all in Electrical Engineering. In addition to 120+ scholarly
papers and 40+ patents he has published, his work has also been adopted into 10 international standards from
W3C, Ecma and ISO.




Copyright © by the paper’s authors. Copying permitted for private and academic purposes.
In: Joint Proceedings of the First International Workshop on Professional Search (ProfS2018); the Second Workshop on Knowledge
Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR); and the International Workshop on Data Search
(DATA:SEARCH’18). Co-located with SIGIR 2018, Ann Arbor, Michigan, USA – 12 July 2018, published at http://ceur-ws.org




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