A Hybrid Approach for Event Extraction and Event Actor Identification
Anup Kumar Kolya, Asif Ekbal, Sivaji Bandyopadhyay · Recent Advances in Natural Language Processing · 2011
This paper, we propose an approach for event extraction and corresponding event actor identificationwithin the TimeML framework. Firstly, for event extraction , we develop SVM based hybrid approach and for event actor identification the baseline model is developed based on the subject information of the dependency-parsed event sentences. Then we develop an unsupervised syntax based model that is based on the relationship of the event verbs with their argu ment structure extracted from the head information of the chunks in the parsed sentences. Evaluation on a col lection of TempEval-2 corpus shows the precision, recall and F-measure values for the baseline model as 64.31%, 67.74% and 65.98%, respectively and the syntax based model as 69.12%, 66.90% and 67.99%, respectively.