the events and if so, they mainly r

the events and if so, they mainly relied on manually annotated corpus. As we all know, the construction of such corpus would take much effort. So, a major challenge in causality knowledge acquisition is the need for more generic methods that would acquire massive causal relations from unannotated corpus and learn the relations between verbs with varied argument structures. This issue would be addressed in this paper.