Invited Talk Abstracts
Landauer, Thomas K. (Pearson Knowledge Technologies) | Picard, Rosalind W. (Massachusetts Institute of Technology) | Touretzky, David S. (Carnegie Mellon University) | Baker, Ryan (Worcester Ploytechnic Institute) | Holte, Robert C. (University of Alberta) | Stent, Amanda J. (AT&T Labs - Research) | Vanderveken, Daniel (University of Quebec)
Thomas K. Landauer (Pearson Knowledge Technologies) The recently created word maturity (WM) metric uses the computational language model LSA to mimic the average evolutionary growth of individual word and paragraph knowledge as a function of the total amount and order of simulated reading. The simulator traces the separate growth trajectories of an unlimited number of different words from the beginning of reading to adult level.
May-18-2011
- Country:
- North America
- United States > Massachusetts (0.06)
- Canada
- Alberta (0.15)
- Quebec > Mauricie Region
- Trois-Rivières (0.05)
- North America
- Industry:
- Education (1.00)
- Health & Medicine > Therapeutic Area (0.75)
- Technology:
- Information Technology > Artificial Intelligence
- Robots (1.00)
- Natural Language (1.00)
- Machine Learning (0.99)
- Information Technology > Artificial Intelligence