Abstract
Causality Extraction have a lot of application in different fields of the information technology such as development of systems that need to interact with humans,artificial intelligence applications, analysis of interpersonal relationships and public decision making, etc. In this research we propose a method for Automatic Cause and Effect Extraction based on Syntactic Similarity from Sentences with Causal Cue Words.