Year: 2008
Type: conference-paper
Abstract: In this paper, we present a linguistic resource that annotates event structures in texts.We consider an event structure as a collection of events that interact with each other in a given situation.We interpret the interactions between events as event relations.In this regard, we propose and annotate a set of six relations that best capture the concept of event structure.These relations are: subevent, reason, purpose, enablement, precedence and related.A document from this resource can encode multiple event structures and an event structure can be described across multiple documents.In order to unify event structures, we also annotate inter-and intra-document event coreference.Moreover, we provide methodologies for automatic discovery of event structures from texts.First, we group the events that constitute an event structure into event clusters and then, we use supervised learning frameworks to classify the relations that exist between events from the same cluster.
Authors: Cosmin Bejan, Sanda Harabagiu
Institution: The University of Texas at Dallas
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W82416983