This system helps computers understand human language, like speech or text, to perform specific actions. It does this by automatically building a map of how information in a database is related. Then, it uses this map to figure out what a user's words mean, even if they're ambiguous, and selects the correct computer action to execute.
Why it matters: Filed before large language models (LLMs) became widely capable of semantic understanding and ambiguity resolution. LLMs could now significantly enhance the interpretation, ontology construction, and action selection described.
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