Semi-automatic generation of linear event extraction patterns for free texts

In this paper we describe semi-automatic approach to generating event extraction patterns for free texts. The algorithm is composed of four steps: we automatically extract possible events from a corpus of free documents, cluster them using dependency-based parse tree paths, validate random samples from each cluster and generate linear patterns using positive event clusters. We compare it with the system that uses handcrafted patterns.