Intention, memory, and computer understanding
Abstract/Contents
- Abstract
- Procedures are described for discovering the intention of a speaker by relating the Conceptual Dependency representation of the speaker's utterance to the computer's world model such that simple implications can be made. These procedures function at levels higher than that of the sentence by allowing for predictions based on context and the structure of the memory. Computer understanding of natural language is shown to consist of the following parts: assigning a conceptual representation to an input; relating that representation to the memory such as to extract the intention of the speaker; and selecting the correct response type triggered by such an utterance according to the situation.
Description
| Type of resource | text |
|---|---|
| Form | technical reports |
| Extent | 1 text file |
| Place | Stanford (Calif.) |
| Date created | January 1, 1971 |
| Language | English |
| Digital origin | reformatted digital |
Creators/Contributors
| Author | Schank, Roger C. |
|---|
Subjects
| Subject | Stanford University. Computer Science Department |
|---|---|
| Subject | Computer science |
| Genre | Technical reports |
Bibliographic information
| Finding Aid | |
|---|---|
| Technical Report # | CS-TR-1971-193 |
| Location | https://purl.stanford.edu/pd940bb7907 |
| Location | 3840/2 |
| Repository | Stanford University. Libraries. Department of Special Collections and University Archives |
Access conditions
- Use and reproduction
- The materials are open for research use and may be used freely for non-commercial purposes with an attribution. For commercial permission requests, please contact the Stanford University Archives (universityarchives@stanford.edu).
Collection
Stanford University, Department of Computer Science, Technical Reports
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