sub:assertion {
  sub:paragraph c4o:hasContent "The two settings of the MTurk workers outperformed the baseline approach. The ‘first answer’ setting reports a precision of 0.62, while the ‘majority voting’ achieved a precision of 0.94. The 6% of the links that were not properly classified by the crowd corresponds to those web pages whose con- tent is in a different language than English or, de- spite they are referenced from the Wikipedia article of the subject, their association to the subject is not straightforward. Examples of these cases are the following subjects and links: ‘Frank Stanford’ and http://nwar.com/drakefield/ , ‘Forever Green’ and http://www.stirrupcup.co.uk . We hypothesize that the design of the user interface of the HITs – displaying a preview of the web pages to analyze – helped the workers to easily identify those links containing related content to the triple subject." ;
    a doco:Paragraph .
}