Reva Freedman

Associate Professor

Office: PM 554
Email: rfreedman@niu.edu
Homepage: http://faculty.cs.niu.edu/~freedman/
Research Lab: http://www.cs.niu.edu/~freedman/gala-lab.html

Education

  • Ph.D., Northwestern University
  • M.A., Northwestern University
  • B.A., University of Chicago

Areas of Interest

  • AI and computational linguistics
    • Text generation
    • 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

Representative publications

  • Murtuza Shahzad, Hamed Alhoori, Reva Freedman, and Shaikh Abdul Rahman. (2022).
    Quantifying the Online Long-Term Interest in Research.
    Journal of Informetrics 16(2): 101288. https://doi.org/10.1016/j.joi.2022.101288.
  • Pi-Sui Hsu, Reva Freedman, Annalise Brockmann, Zachary Hueneke, Dean La Barbera, Ben Kluga, Rui Zhang, Ian Sullivan, and Margot Van Dyke. (2022).
    Development of a Gamified Argumentation Tool for Middle School Students.
    International Journal of Designs for Learning 13(1): 114-125. https://scholarworks.iu.edu/journals/index.php/ijdl/article/view/32624/37851
  • Reva Freedman, Virginia Naples, Ian Sullivan, Annalise Brockmann, Lucas Edwards and Dean LaBarbera. (2023).
    Teaching Cardiovascular Physiology with a Minigame-Based ITS.
    Proceedings of the International Conference on Intelligent Tutoring Systems (ITS 2023), Corfu, pp. 137-146. https://link.springer.com/chapter/10.1007/978-3-031-32883-1_12
  • Ben Kluga, Manohar Sai Jasti, Virginia Naples, and Reva Freedman.(2019).
    Adding Intelligence to a Textbook for Human Anatomy with a Causal Concept Map Based ITS.
    First Workshop on Intelligent Textbooks, co-located with AIED 2019, Chicago. https://ceur-ws.org/Vol-2384/paper13.pdf
  • Virginia Naples and Reva Freedman. (2022)
    A graduate research methods class assists students in defining their main and interrelated research areas.
    101st Annual Meeting of the American Society of Mammalogists, Tucson.
  • Reva Freedman. (2018).
    Evolution of Methods of Evaluation in AI in Education.
    14th International Conference on Intelligent Tutoring Systems, Montreal, pp. 428-430.
  • Ashli Fain and Reva Freedman. (2019).
    How Animacy and Information Status Determine Word Order in Translation of the Passive Voice
    32nd International FLAIRS Conference, Sarasota, pp. 233-237. https://cdn.aaai.org/ocs/18308/18308-78927-1-PB.pdf
  • Reva Freedman. (2017).
    Can Natural Language Processing Help Identify the Author(s) of the Book of Isaiah?
    30th International FLAIRS Conference, Marco Island, pp. 297-300, https://cdn.aaai.org/ocs/15541/15541-68665-1-PB.pdf
  • Melissa Wright and Reva Freedman. (2017)
    Syntactic Differentiation in Oscar Wilde's "Dorian Gray."
    28th Modern Artificial Intelligence and Cognitive Science Conference (MAICS 2017), Fort Wayne, pp. 204-206. https://ceur-ws.org/Vol-1964/PosterPapers.pdf

Students

  • Mosab Rezaei (PhD)
  • Miguel Williams (PhD)
  • Mina Rajaei Moghadam (MS, Linguistics)
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