Breaking news on economic events - e.g., acquisitions, profit announcements, and stock splits - has a substantial impact on financial markets. Hence, automatically identifying events in news items accurately and timely is of great importance. In this paper we propose a Semantics-based Pipeline for Economic Event Detection (SPEED), which aims at extracting financial events from news articles and annotating these events with meta-data, while retaining a speed that is high enough to make real-time use possible. In our pipeline implementation, we have reused some of the components of an existing framework and additionally, developed new ones, e.g., an Ontology Gazetteer and a Word Sense Disambiguator.
|Number of pages||2|
|Publication status||Published - 23 Feb 2012|
|Event||Twelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012) - Ghent, Belgium|
Duration: 23 Feb 2012 → 24 Feb 2012
|Conference||Twelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012)|
|Period||23/02/12 → 24/02/12|