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On Reality and the Limits of Language Data. (arXiv:2208.11981v1 [cs.CL])
Aug. 26, 2022, 1:10 a.m. | Nigel H. Collier, Fangyu Liu, Ehsan Shareghi
cs.LG updates on arXiv.org arxiv.org
Recent advances in neural network language models have shown that it is
possible to derive expressive meaning representations by leveraging linguistic
associations in large-scale natural language data. These potentially Gestalt
representations have enabled state-of-the-art performance for many practical
applications. It would appear that we are on a pathway to empirically deriving
a robust and expressive computable semantics. A key question that arises is how
far can language data alone enable computers to understand the necessary truth
about the physical world? …
More from arxiv.org / cs.LG updates on arXiv.org
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