What architectural shift marked the major move away from systems like SHRDLU post-2000s?
Answer
Transition to statistical methods and neural network models
For decades, dialogue systems primarily relied on symbolic, rule-based approaches where programmers painstakingly encoded every grammar rule and piece of knowledge manually. This made systems brittle, failing when confronted with novel phrasing. The crucial architectural shift that followed involved moving toward statistical methods and eventually neural network models. This change allowed systems to learn underlying patterns, grammar, and context directly from analyzing vast amounts of data (large corpora) rather than relying on explicit, hand-coded instructions. This enabled systems to handle significantly greater variability in human language input.
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