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Course Info

  • Course Number / Code:
  • 6.892 (Spring 2004) 
  • Course Title:
  • Computational Models of Discourse 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Regina Barzilay 
  • Course Introduction:
  •  


  • 6.892 Computational Models of Discourse



    Spring 2004




    Course Highlights


    This course features a complete set of lecture notes. In addition an extensive bibliography of assigned and recommended readings is provided in the readings section.


    Course Description


    This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing.

    The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing.

    This subject qualifies as an Artificial Intelligence and Applications concentration subject.


    Technical Requirements


    Postscript viewer software, such as Ghostscript/Ghostview, can be used to view the .ps files found on this course site. File decompression software, such as Winzip® or StuffIt®, is required to open the .gz files found on this course site.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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