Abstract: Vent extraction is a task of Automatic Content Extraction (ACE) program. Event Argument Identification is sub-task of Event extraction. The state-of-the-art of event extraction and event argument identification was given. An algorithm named Feature Weighting Based Event Argument Identification (FWEAI) was proposed, which improved ReliefF, a feature selection algorithm in classification algorithm, and employed it in clustering algorithm. The improved ReliefF (FWA)can assign different weights to different features according to their contributions to lustering,then Event arguments were clustered by using KMcans clustering algorithm. Experimental results demonstrate that FWEAI algorithm improves the precision on Event Argument Identification.

Key words: Feature weighting, ReliefF, Event argument identification, Event extraction