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Generating Contextually Appropriate Followup Questions
The goal of this internship is to design and build a model which can generate contextually appropriate questions during a market research survey. This project will build on existing work, and will extend it by incorporating commonsense reasoning, long-range memory, and possibly other features The model will be tested with real humans using an online chatbot, and the results will be compared against previous work. The resulting model will be incorporated into the partner organization’s chatbot-based product, where it will be used as a premium feature for market research surveys.
Faculty Supervisor:
Suzanne Stevenson
Student:
Partner:
Nexxt Intelligence
Discipline:
Computer science
Sector:
Professional, scientific and technical services
University:
University of Toronto
Program:
Accelerate
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