# Patent Contradiction Identification

A patent contradiction sentence identification model based on PatentSBERTa, capable of mapping sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks such as clustering or semantic search.

A patent contradiction sentence identification model based on all-MiniLM-L6-v2, capable of mapping sentences and paragraphs into a 384-dimensional dense vector space, suitable for tasks like clustering or semantic search.