👉 Pre-inference is a technique used in natural language processing (NLP) to analyze and interpret incomplete or ambiguous statements. It involves identifying the most probable interpretation of the statement based on prior knowledge, such as previous statements or linguistic rules. In pre-inference models, the input is typically a question that contains information about an unknown entity (the preinferred entity), and the goal is to predict the value of this entity. The model then analyzes the available evidence to infer the most likely interpretation of
