@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 . }