Year: 2014
Type: conference-paper
Abstract: In the task of event coreference resolution, recent work has shown the need to perform not only full coreference but also partial coreference of events.We show that subevents can form a particular hierarchical event structure.This paper examines a novel two-stage approach to finding and improving subevent structures.First, we introduce a multiclass logistic regression model that can detect subevent relations in addition to full coreference.Second, we propose a method to improve subevent structure based on subevent clusters detected by the model.Using a corpus in the Intelligence Community domain, we show that the method achieves over 3.2 BLANC F1 gain in detecting subevent relations against the logistic regression model.
Institution: Carnegie Mellon University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2250487771
