  Extraction of financial and economic events from text has previously been
done mostly using rule-based methods, with more recent works employing machine
learning techniques. This work is in line with this latter approach, leveraging
relevant Wikipedia sections to extract weak labels for sentences describing
economic events. Whereas previous weakly supervised approaches required a
knowledge-base of such events, or corresponding financial figures, our approach
requires no such additional data, and can be employed to extract economic
events related to companies which are not even mentioned in the training data.
