@prefix dc: .
@prefix this: .
@prefix sub: .
@prefix xsd: .
@prefix prov: .
@prefix pav: .
@prefix np: .
@prefix linkflows: .
sub:Head {
this: np:hasAssertion sub:assertion;
np:hasProvenance sub:provenance;
np:hasPublicationInfo sub:pubinfo;
a np:Nanopublication .
}
sub:assertion {
sub:comment-10 a linkflows:ActionNeededComment, linkflows:ContentComment, linkflows:NegativeComment,
linkflows:ReviewComment;
linkflows:hasCommentText "* The experimental settings include a rather simple strategy for seed selection (for both training the frame/FE classifiers and selecting the sentences to be used for extracting assertions in the first place), viz., sentence filtering according to a maximum length of words. First, for the sake of exactness and replicability of the results, this threshold should be explicitly stated. Second, I am a bit concerned that this strategy might introduce a bias towards shorter sentence with a relatively simple syntactic structure, which might explain why Named Entity Linking serves well as a surrogate of syntactic parsing. If so, this clearly questions the scalability of the approach. In any case, I would like to see a more comprehensive discussion of these aspects.";
linkflows:hasImpact "3"^^xsd:positiveInteger;
linkflows:refersTo .
}
sub:provenance {
sub:assertion prov:hadPrimarySource ;
prov:wasAttributedTo .
}
sub:pubinfo {
this: dc:created "2019-11-26T09:05:11+01:00"^^xsd:dateTime;
pav:createdBy .
}