AI Research Atlas
Journal article

Semantic memory

New language connects to stored knowledge

The Teachable Language Comprehender related new text to a semantic network and represented what it learned in the same form.

M. Ross Quillian

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The contribution

TLC was designed to connect the assertions in new text with facts already held in a semantic memory. It adapted relevant structures to represent the new material, so that the result could itself become part of memory. Teaching the system facts and interpretation procedures was intended to expand its ability to comprehend later sentences.

What this does not establish

The published system contained a limited collection of facts and interpretation capabilities. Its general design should not be mistaken for a demonstrated ability to learn or understand arbitrary English.

Why this date?

The journal article appeared in August 1969. The publisher metadata gives pages 459-476; the SHRDLU bibliography shortens that range to 459-475.

This entry follows the linked publication. Read the source and date conventions.

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