Action Extraction Based on Open IE

A centre challenge in enhancing usage of natural language text is most sentences are barely clearly shows useful information for relation extraction, event extraction, etc.However, information cross sentences or even cross documents bounded together may produce better results.We bring action extraction based on open IE results to extract actions as meta results.It not only presents what an entity did and will do, but also provides an important foundation of producing conclusive results by using statistics and deduction.By using action extraction, we dramatically generate vast mention pairs we called weak relation which means the pair of mentions exist in the same action.This paper is focus on constructing a knowledge base not only with relations, but also actions so that we can do more work in future.