Framework for the Extraction of Clausal Mention Movement Events from the Text Using Its Meaning Representation

Given a text the proposed work is to identify clausal mention movement events in the text. As the existing event extraction systems do not incorporate the meaning of the text, there is a need for event extraction system that takes meaning of the text into account. The proposed work provides a framework for identifying events by considering the text meaning representation (TMR). The framework involves 4 phases, namely, identifying event triggers, event argument, event properties and annotation of event. Event triggers are recognized using statistical methods. Event arguments are identified from text meaning representation of the input text. Event properties are extracted from the outcome of syntactic analysis phase of TMR generating tool as well as TMR. This information is annotated with event extent so that it can be accessed by queries that need information about the events.