Papers with semantic emulation of languages
Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand? (2021.tacl-1)
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| Challenge: | Language models trained on billions of tokens have recently led to unprecedented results on many NLP tasks. |
| Approach: | They examine whether assertions enable a system to emulate representations preserving semantic relations like equivalence. |
| Outcome: | The proposed model can emulate representations preserving semantic relations like equivalence, but it can become uncomputable for classes of languages where expressions can take different values in different contexts. |