Semantics-Based Financial Event Detection

Frederik Hogenboom, Alexander Hogenboom, Flavius Frasincar

Research output: Contribution to conferencePosterAcademic


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.
Original languageEnglish
Number of pages2
Publication statusPublished - 23 Feb 2012
EventTwelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012) - Ghent, Belgium
Duration: 23 Feb 201224 Feb 2012


ConferenceTwelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012)
CityGhent, Belgium

Research programs

  • EUR ESE 32


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