In recent years, researchers have shown that adding parameters to neural networks improves their performance on language tasks. However, the fundamental problem of understanding language remains unsolved. And this is because the AI community has abandoned knowledge-based systems, argue Marjorie McShane and Sergei Nirenburg in their new book, Linguistics for the Age of AI.
In an interview, McShane contends that machine learning must overcome several barriers, first among them being the absence of meaning.
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