Semi-Automatic Generation of Linear Event Extraction Patterns for Free Texts
Daria Dzendzik, Sergey Serebryakov · 2013
In this paper we describe a 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 our algorithm with the system that uses manually created patterns. 1