An important part of text understanding arises from understanding the semantics of events described in the narrative, such as identifying the events that are mentioned and how they are related semantically. For instance, when given a sentence “The police arrested him because he killed someone.”, humans understand that there are two events, triggered by the words “arrested” and “killed”, and that there is a causality relationship between these two events. Besides being an important component of discourse understanding, automatically identifying causal re- lations between events is important for various nat- ural language processing (NLP) applications such as question answering, etc. In this work, we auto- matically detect and extract causal relations between events in text
