sub:assertion {
  sub:paragraph c4o:hasContent "The main research challenge is formulated as a KB population problem: specifically, we tackle how to au- tomatically enrich DBpedia resources with novel state- ments extracted from the text of Wikipedia articles. We conceive the solution as a machine learning task implementing the Frame Semantics linguistic theory [16,17]: we investigate how to recognize meaningful factual parts given a natural language sentence as input. We cast this as a classification activity falling into the su- pervised learning paradigm. Specifically, we focus on the construction of a new extractor, to be integrated into the current DBpedia infrastructure. Frame Semantics will enable the discovery of relations that hold between entities in raw text. Its implementation takes as input a collection of documents from Wikipedia (i.e., the corpus) and outputs a structured dataset composed of machine-readable statements." ;
    a doco:Paragraph .
}