Using Semantic Role Labeling to Extract Events from Wikipedia
Although event models and corresponding RDF vocabularies are becoming
available, the collection of events still requires an initial manual encoding
to produce the data. In this paper, we describe a system based on semantic parsing
(SRL) to collect automatically events from text and convert them into the LODE
model. Furthermore, the system automatically links extracted event properties to
the external resources DBpedia and GeoNames.We applied our system to 10% of
the English Wikipedia and we evaluated its performance. We managed to extract
27,500 high-confidence event instances. Although SRL is not an error-free technique,
we show that it is an effective tool, as the definition of the arguments (or
roles) used in our analysis and the event properties are, most of the time, nearly
identical. We evaluated the results on a randomly selected sample of 100 events
and we report F-measures of up to 73. The extracted events are available online
from a SPARQL endpoint.
Exner, Peter, and Pierre Nugues. "Using semantic role labeling to extract events from Wikipedia." Proceedings of the Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011). Workshop in conjunction with the 10th International Semantic Web Conference. 2011.