@prefix dc: .
@prefix this: .
@prefix sub: .
@prefix xsd: .
@prefix prov: .
@prefix pav: .
@prefix np: .
@prefix doco: .
@prefix c4o: .
sub:Head {
this: np:hasAssertion sub:assertion;
np:hasProvenance sub:provenance;
np:hasPublicationInfo sub:pubinfo;
a np:Nanopublication .
}
sub:assertion {
sub:paragraph c4o:hasContent "OIE is defined as a function f (d) over a document d, yielding a set of triples (np 1 , rel, np 2 ), where nps are noun phrases and rel is a relation between them. Known complete systems include OLLIE [25], REVERB [14], and NELL [9]. Recently, it has been discussed that cross-utterance processing can improve the performance through logical entailments [1]. This paradigm is called “open” since it is not constrained by any schemata, but rather attempts to learn them from unstructured data. In addition, it takes as input heterogeneous sources of information, typically from the Web.";
a doco:Paragraph .
}
sub:provenance {
sub:assertion prov:hadPrimarySource ;
prov:wasAttributedTo .
}
sub:pubinfo {
this: dc:created "2019-11-10T18:05:11+01:00"^^xsd:dateTime;
pav:createdBy .
}