Research Interests :

Machine Learning

Conversational Agents and Spoken Dialog Systems

Constraint Programming

Research Projects :

Loqui: A Wizard Ablation Dialog System Project

Automatically learning, testing and evaluating human-machine dialog strategies from contrasting parameterized corpora.

The Adaptive Constraint Engine (ACE)

Solving constraint satisfaction problems, focusing upon reasonable rationales and multiple learning methods.

Problem Solving and Machine Learning Laboratory

Courses Taught:

Introduction to Computers (CSCI 120 - Computer Science Department, Hunter College).

Contact:

Tiziana Ligorio
Department of Computer Science
Hunter College
695 Park Avenue
New York, NY 10021

212-772-5213 (department)
212-772-5219 (fax)
Email:tligorio@gc.cuny.edu

Publications:

Ligorio, T. and S. L. Epstein, 2005. Partial Redundant Modeling. In Principles and Practice of Constraint Programming -- CP2005. Springer Verlag, pp.856

Epstein, S. L. and T. Ligorio. 2004. Fast and Frugal Reasoning Enhances a Solver for Really Hard Problems. In Proceedings of Cognitive Science 2004. Chicago: Lawrence Earlbaum, pp.351-356