Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data

This paper argues that large neural language models, despite their successes, do not truly understand language.

It emphasizes the distinction between linguistic form and meaning, suggesting that meaning cannot be learned solely from form.

The authors advocate for a clearer understanding of these concepts to guide future research in natural language understanding.