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  2. Roger Schank - Wikipedia

    en.wikipedia.org/wiki/Roger_Schank

    In 1969 Schank introduced the conceptual dependency theory for natural language understanding. [17] This model, partly based on the work of Sydney Lamb, was extensively used by Schank's students at Yale University, such as Robert Wilensky, Wendy Lehnert, and Janet Kolodner, in a series of models of natural language processing. [18]

  3. Conceptual dependency theory - Wikipedia

    en.wikipedia.org/wiki/Conceptual_dependency_theory

    Roger Schank at Stanford University introduced the model in 1969, in the early days of artificial intelligence. [1] This model was extensively used by Schank's students at Yale University such as Robert Wilensky, Wendy Lehnert, and Janet Kolodner. Schank developed the model to represent knowledge for natural language input into computers.

  4. History of natural language processing - Wikipedia

    en.wikipedia.org/wiki/History_of_natural...

    In 1969 Roger Schank introduced the conceptual dependency theory for natural language understanding. [3] This model, partially influenced by the work of Sydney Lamb, was extensively used by Schank's students at Yale University, such as Robert Wilensky, Wendy Lehnert, and Janet Kolodner.

  5. Natural approach - Wikipedia

    en.wikipedia.org/wiki/Natural_Approach

    The natural approach is a method of language teaching developed by Stephen Krashen and Tracy Terrell in the late 1970s and early 1980s. The Natural Approach has been used in ESL classes as well as foreign language classes for people of all ages and in various educational settings, from primary schools to universities. [ 1 ]

  6. Script theory - Wikipedia

    en.wikipedia.org/wiki/Script_theory

    Roger Schank, Robert P. Abelson and their research group, extended Tomkins' scripts and used them in early artificial intelligence work as a method of representing procedural knowledge. [1] In their work, scripts are very much like frames, except the values that fill the slots must be ordered. A script is a structured representation describing ...

  7. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.

  8. Outline of natural language processing - Wikipedia

    en.wikipedia.org/wiki/Outline_of_natural...

    With James H. Martin, he wrote the textbook Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics; Roger Schank – introduced the conceptual dependency theory for natural-language understanding. [23] Jean E. Fox Tree – Alan Turing – originator of the Turing Test.

  9. Natural language understanding - Wikipedia

    en.wikipedia.org/wiki/Natural_language_understanding

    Natural language processing has made inroads for applications to support human productivity in service and e-commerce, but this has largely been made possible by narrowing the scope of the application. There are thousands of ways to request something in a human language that still defies conventional natural language processing.