Reva Freedman

Associate Professor
Department of Computer Science
Northern Illinois University

freedman@cs.niu.edu

• AIED 2011 Workshop on Corpus Analysis of Natural Language Dialogue for Building ITSs (canceled)

Coordinates

Mailing address:

Department of Computer Science
Northern Illinois University
DeKalb, IL 60115

Note: No street address is needed, but if you can't convince your mailroom of that, use the address of our mailroom, 1425 W. Lincoln Hwy.

Physical address:

Psychology/Computer Science 558

Phone:

Phone: (815) 753-6944 (answered during office hours only)
Fax: (815) 753-0342 (let me know you've sent one)

Email preferred.

Teaching (most recent instance of each course)

• CS240 Computer Programming in C++
• CS241 Intermediate Programming in C++
• CS330 The Unix System

• CS340 Data Stuctures and Algorithm Analysis
• CS463 Computer Systems Organization
• CS480 Operating Systems Principles

• CSCI 490A/680B Introduction to Artificial Intelligence
• CSCI 490-B1/680-A6 Natural Language Processing in Python
• ILAS 261 Language, Mind and Thought

Research

Interests:

• AI and computational linguistics:
  • Discourse and dialogue planning, shallow (but not superficial) text generation, mixed-initiative and multi-modal systems.
  • Knowledge representation for tutoring and causal reasoning.
  • All kinds of declarative formalisms (logic programming, constraint-based programming, etc.).
  • Dialogue annotation and analysis.
    
    
• Linguistics:
  • Romance linguistics.
  • Semitic linguistics.

Current research projects:

Section under construction.

URAP information (undergraduate research projects)

Previous research projects:

• Circle

  Tutorial planning and text generation for the Atlas system. Atlas is an integrated planning and execution system that will allow natural language dialogues to become an integral part of an intelligent tutoring system. Atlas is a product of Circle, the Center for Interdisciplinary Research on Constructive Learning Environments. Circle is a National Science Foundation-funded resarch center drawing personnel from the University of Pittsburgh and from Carnegie-Mellon University. Its goal is to develop a new generation of intelligent tutoring systems which foster the same kind of learning as one-on-one human tutoring. Tutoring systems involved with Circle include Andes and the Advanced Computer Tutoring Project at CMU.

• Circsim-Tutor

  CIRCSIM-Tutor is an intelligent tutoring system that helps medical students understand blood pressure regulation. The latest version (v. 3) generates dialogues with sophisticated strategies for tutoring and dialogue control based on an empirical analysis of transcripts of human tutoring sessions. This reseach was supported by the Office of Naval Research.

Other miscellaneous projects:

Getting Microsoft out of my life.

Publications

2001

• Freedman, Reva. 2001.
  Adaptive Processing in a Medical Intelligent Tutoring System.
  Workshop on Adaptation in Dialogue Systems, NAACL 2001, Pittsburgh.
  .pdf

• Freedman, Reva. 2001.
  An Approach to Increasing Programming Efficiency in Plan-Based Dialogue Systems.
  Proceedings of the Tenth International Conference on AI in Education (AI-ED 2001), San Antonio. (8 1/2 x 11 version)
  .pdf

2000

• Freedman, Reva. 2000.
  Links: What is an Intelligent Tutoring System?
  Intelligence 11(3): 15-16.
  Postscript .pdf

• Freedman, Reva. 2000.
  A Reactive Approach to Dialogue Planning in an Intelligent User Interface.
  Workshop on Using Plans in Intelligent User Interfaces, International Conference on Intelligent User Interfaces (IUI 2000), New Orleans.
  

• Freedman, Reva. 2000.
  Plan-Based Dialogue Management in a Physics Tutor.
  Proceedings of the Sixth Applied Natural Language Processing Conference (ANLP 2000), Seattle.
  .pdf

• Freedman, Reva. 2000.
  Using a Reactive Planner as the Basis for a Dialogue Agent.
  Proceedings of the Thirteenth Florida Artificial Intelligence Research Symposium (FLAIRS 2000), Orlando.
  .pdf
  For further details about programming in APE, see the technical note below.

• Freedman, Reva, Carolyn Penstein Rosé, Michael A. Ringenberg and Kurt VanLehn. 2000.
  ITS Tools for Natural Language Dialogue: A Domain-Independent Parser and Planner.
  In Intelligent Tutoring Systems: Fifth International Conference (ITS 2000), Montreal.
  Springer-Verlag Lecture Notes in Computer Science.
  Postscript .ps or .pdf

• Kim, Jung Hee, Michael Glass, Reva Freedman and Martha W. Evens. 2000.
  Learning the Use of Discourse Markers in Tutorial Dialogue for an Intelligent Tutoring System.
  Proceedings of the 22nd Annual Conference of the Cognitive Science Society, Philadelphia.
  .pdf

• Rosé, Carolyn, Reva Freedman, Pamela Jordan, Michael Ringenberg, Antonio Roque, Kay Schulze, Robert Shelby, Stephanie Siler, Donald Treacy, Kurt VanLehn, Anders Weinstein, and Mary Wintersgill. 2000.
  Conceptual Tutoring in Atlas-Andes.
  In Building Dialogue Systems for Tutorial Applications: Papers from the 2000 Fall Symposium (North Falmouth, MA), demo session. AAAI Technical Report FS-00-01.
  

• VanLehn, Kurt, Reva Freedman, Pamela Jordan, Charles Murray, Remus Osan, Michael Ringenberg, Carolyn Rosé, Kay Schulze, Robert Shelby, Donald Treacy, Anders Weinstein, and Mary Wintersgill. 2000.
  Fading and Deepening: The Next Steps for Andes and Other Model-Tracing Tutors.
  In Intelligent Tutoring Systems: Fifth International Conference (ITS 2000), Montreal.
  Springer-Verlag Lecture Notes in Computer Science.
  

1999

• Freedman, Reva. 1999.
  Atlas: A Plan Manager for Mixed-Initiative, Multimodal Dialogue.
  AAAI-99 Workshop on Mixed-Initiative Intelligence, Orlando.
  .pdf

• Zhou, Yujian, Reva Freedman, Michael Glass, Joel A. Michael, Allen A. Rovick, and Martha W. Evens. 1999.
  Delivering Hints in a Dialogue-Based Intelligent Tutoring System.
  Sixteenth National Conference on Artificial Intelligence (AAAI '99), Orlando.
  .pdf

• Zhou, Yujian, Reva Freedman, Michael Glass, Joel A. Michael, Allen A. Rovick, and Martha W. Evens. 1999.
  What Should the Tutor Do When the Student Cannot Answer a Question?
  Proceedings of the 12th Florida Artificial Intelligence Symposium (FLAIRS '99), Orlando.
  .pdf

1998

• Freedman, Reva, Stefan Brandle, Michael Glass, Jung Hee Kim, Yujian Zhou and Martha W. Evens. 1998.
  Content Planning as the Basis for an Intelligent Tutoring System.
  Proceedings of the Ninth International Workshop on Natural Language Generation (INLG-9), Niagara on the Lake, Canada, demo session.
  .pdf

• Freedman, Reva, Yujian Zhou, Michael Glass, Jung Hee Kim and Martha W. Evens. 1998.
  Using Rule Induction to Assist in Rule Construction for a Natural-Language Based Intelligent Tutoring System.
  Proceedings of the Twentieth Annual Conference of the Cognitive Science Society, Madison.
  Postscript .ps or .pdf

• Freedman, Reva, Yujian Zhou, Jung Hee Kim, Michael Glass and Martha W. Evens. 1998.
  SGML-Based Markup as a Step toward Improving Knowledge Acquisition for Text Generation.
  AAAI 1998 Spring Symposium: Applying Machine Learning to Discourse Processing, Stanford.
  

• Kim, Jung Hee, Reva Freedman and Martha W. Evens. 1998.
  Relationship between Tutorial Goals and Sentence Structure in a Corpus of Tutoring Transcripts.
  Proceedings of the Ninth Midwest Artificial Intelligence and Cognitive Science Conference (MAICS '98), Dayton.
  Postscript .ps or .pdf

• Kim, Jung Hee, Reva Freedman, and Martha W. Evens. 1998.
  Responding to Unexpected Student Utterances in CIRCSIM-Tutor v. 3: Analysis of Transcripts.
  Proceedings of the Eleventh Florida AI Research Symposium (FLAIRS '98), Sanibel Island, FL.
  Postscript .ps or .pdf

1997

• Freedman, Reva. 1997.
  Degrees of Mixed-Initiative Interaction in an Intelligent Tutoring System.
  AAAI 1997 Spring Symposium: Computational Models for Mixed Initiative Interaction, Stanford.
  Postscript .ps or .pdf

• Freedman, Reva. 1997.
  Representing Communicative Action in a Dialogue-Based Intelligent Tutoring System.
  AAAI 1997 Fall Symposium: Communicative Action in Humans and Machines, Boston.
  Postscript .ps or .pdf

• Freedman, Reva and Martha W. Evens. 1997.
  The Use of Multiple Knowledge Types in an Intelligent Tutoring System.
  Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society, Stanford, poster session.
  

1996

• Freedman, Reva. 1996.
  Using a Text Planner to Model the Behavior of Human Tutors in an ITS.
  In M. Gasser, ed., Online Proceedings of the Seventh Midwest Artificial Intelligence and Cognitive Science Conference (MAICS '96), Bloomington, IN.
  Postscript .ps. This paper is also available in the online proceedings as html.

• Freedman, Reva. 1996.
  Using Tutoring Patterns to Generate More Cohesive Text in an Intelligent Tutoring System.
  Proceedings of the International Conference on Learning Systems (ICLS '96), Evanston, IL.
  Postscript .ps or .pdf

• Freedman, Reva and Martha W. Evens. 1996.
  Generating and Revising Hierarchical Multi-turn Text Plans in an ITS.
  In C. Frasson, G. Gauthier and A. Lesgold, eds. Intelligent Tutoring Systems: Third International Conference (ITS '96), Montreal. Springer-Verlag Lecture Notes in Computer Science, no. 1086.
  Postscript .ps or .pdf

• Freedman, Reva and Martha W. Evens. 1996.
  Realistic Limitations in Natural Language Processing for an Intelligent Tutoring System.
  Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, La Jolla, poster session.
  

1995

• Freedman, Reva. 1995.
  Using Pedagogical Knowledge to Structure Text Generation in an Intelligent Tutoring System.
  Proceedings of the 1995 Midwest Artificial Intelligence and Cognitive Science Society Conference (MAICS-95), Carbondale, IL.
  

Unpublished documents

• Freedman, Reva. 2000.
  Dialogue Generation with APE: Some Programming Considerations
  Postscript .ps or .pdf

• Freedman, Reva. 1996.
  Proposed Transcript Markup System for the CIRCSIM-Tutor Project (v. 2)
  Postscript .ps or html.

Education

• Ph.D., Northwestern University, Department of EECS.
  Interaction of Discourse Planning, Instructional Planning and Dialogue Management in an Interactive Tutoring System.
  Postscript (several files archived together) .tgz or .zip. Also available as PDF .pdf.

• M. A., Northwestern University, Department of EECS.
  A Logic-Based Transformation System for using Data Flow Diagrams in Software System Design.

• B. A., University of Chicago, mathematics.

Email address deliberately munged to frustrate spammers. Use your creativity.

Last updated Sun. 3/24/2011