Teaching With Watson

In this paper, we describe how we integrated the materials from the 2013 IBM The Great Minds Challenge (TGMC) - Watson Technical Edition into our Introductory Artificial Intelligence course. We describe the variety of materials made available by IBM, as well as the nature of the competition and the datasets that are at the heart of it. We detail how, where and in what form we integrated the materials into our course. We describe assignments that are based on the materials from the competition as well as additional materials we incorporated into our course. We finish by evaluating our experience in teaching with the materials as well as summarize relevant student feedback. We make recommendations for those who wish to adopt the materials.

[1]  Michael C. McCord,et al.  Deep parsing in Watson , 2012, IBM J. Res. Dev..

[2]  David A. Ferrucci,et al.  Introduction to "This is Watson" , 2012, IBM J. Res. Dev..

[3]  William Whittaker,et al.  Autonomous driving in urban environments: Boss and the Urban Challenge , 2008 .

[4]  Aditya Kalyanpur,et al.  A framework for merging and ranking of answers in DeepQA , 2012, IBM J. Res. Dev..

[5]  Jennifer Chu-Carroll,et al.  Finding needles in the haystack: Search and candidate generation , 2012, IBM J. Res. Dev..

[6]  Chang Wang,et al.  Relation extraction and scoring in DeepQA , 2012, IBM J. Res. Dev..

[7]  Eric W. Brown,et al.  Making Watson fast , 2012, IBM J. Res. Dev..

[8]  James Fan,et al.  Textual evidence gathering and analysis , 2012, IBM J. Res. Dev..

[9]  Siddharth Patwardhan,et al.  Question analysis: How Watson reads a clue , 2012, IBM J. Res. Dev..

[10]  Aditya Kalyanpur,et al.  Automatic knowledge extraction from documents , 2012, IBM J. Res. Dev..

[11]  Siddharth Patwardhan,et al.  Structured data and inference in DeepQA , 2012, IBM J. Res. Dev..

[12]  John R. Searle,et al.  Minds, brains, and programs , 1980, Behavioral and Brain Sciences.