Improve Event Extraction via Self-Training with Gradient Guidance. (arXiv:2205.12490v1 [cs.CL])

Data scarcity and imbalance have been the main factors that hinder the
progress of event extraction (EE). In this work, we propose a self-training
with gradient guidance (STGG) framework which consists of (1) a base event
extraction model which is firstly trained on existing event annotations and
then applied to large-scale unlabeled corpora to predict new event mentions,
and (2) a scoring model that takes in each predicted event trigger and argument
as well as their path in the Abstract …

arxiv event extraction gradient guidance self-training training