• Login
    View Item 
    •   MINDS@UW Home
    • MINDS@UW Madison
    • College of Letters and Science, University of Wisconsin–Madison
    • Department of Computer Sciences, UW-Madison
    • CS Technical Reports
    • View Item
    •   MINDS@UW Home
    • MINDS@UW Madison
    • College of Letters and Science, University of Wisconsin–Madison
    • Department of Computer Sciences, UW-Madison
    • CS Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Net Structure for Semantic Information Storage, Deduction and Retrieval

    Thumbnail
    File(s)
    TR109.pdf (2.949Mb)
    Date
    1971
    Author
    Shapiro, Stuart C.
    Publisher
    University of Wisconsin-Madison Department of Computer Sciences
    Metadata
    Show full item record
    Abstract
    This paper descril3es a data structure, MENS (MEmory Net Structure), that is useful for storing semantic information stemming Crom a natural language, and a system, MENTAL (MEmory Net That Answers and Learns) that interacts with a user (human or program), stores information into and retrieves information from MENS and interprets some information in MENS as rules telling it how to deduce new information from what is already stored. MENTAI can be used as a question- answering system with formatted input/output, as a vehicle for experimenting with various theories of semantic structures or as the memory management portion of a natural language question-answering system.
    Permanent Link
    http://digital.library.wisc.edu/1793/57666
    Type
    Technical Report
    Citation
    TR109
    Part of
    • CS Technical Reports

    Contact Us | Send Feedback
     

     

    Browse

    All of MINDS@UWCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Contact Us | Send Feedback