A neural-symbolic joint reasoning approach for Natural Language Inference (NLI). Modeling NLI as inference path planning through a search engine. Sequence chunking and neural paraphrase detection for syntactic variation. SOTA result on SICK and MED.
natural-language-processing language-model natural-language-inference neural-symbolic-reasoning phrase-alignment computational-semantics bert-embeddings
-
Updated
Jun 9, 2021 - Jupyter Notebook