EEQuest: An Event Extraction and Query System

We present EEQuest, an application that extracts events from text using natural language processing (NLP) and supervised machine-learning techniques, and provides a system to query events extracted from a text corpus. We provide a use case for the application wherein we extract business-related events from news articles. The extracted events are then categorized based on the business organization/company that they are related to. Finally, the events are added to a knowledge base using which a query system is built. The system can be used to display events related to a particular organization or a group of organizations. Although we are using the system to extract business-related events, the event extraction mechanism can be used in a more general sense with any available textual data, to extract any kind of events that have a structure that can answer the question: Who did what, when and where?