Meta Semantics: Towards better natural language understanding and reasoning. (arXiv:2304.10663v1 [cs.CL])

Natural language understanding is one of the most challenging topics in
artificial intelligence. Deep neural network methods, particularly large
language module (LLM) methods such as ChatGPT and GPT-3, have powerful
flexibility to adopt informal text but are weak on logical deduction and suffer
from the out-of-vocabulary (OOV) problem. On the other hand, rule-based methods
such as Mathematica, Semantic web, and Lean, are excellent in reasoning but
cannot handle the complex and changeable informal text. Inspired by pragmatics
and structuralism, we …

artificial artificial intelligence arxiv chatgpt deep neural network gpt gpt-3 intelligence language language understanding lean llm mathematica meta natural natural language network neural network reasoning semantic semantics strategies text topics understanding web