[ {
  "@graph" : [ {
    "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o",
    "@type" : [ "http://www.nanopub.org/nschema#Nanopublication" ],
    "http://www.nanopub.org/nschema#hasAssertion" : [ {
      "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#assertion"
    } ],
    "http://www.nanopub.org/nschema#hasProvenance" : [ {
      "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#provenance"
    } ],
    "http://www.nanopub.org/nschema#hasPublicationInfo" : [ {
      "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#pubinfo"
    } ]
  } ],
  "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#Head"
}, {
  "@graph" : [ {
    "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#paragraph",
    "@type" : [ "http://purl.org/spar/doco/Paragraph" ],
    "http://purl.org/spar/c4o/hasContent" : [ {
      "@value" : "In this article, we presented a system that puts into practice our fourfold research contribution: first, we perform (1) N-ary relation extraction thanks to the implementation of Frame Semantics, in contrast to traditional binary approaches; second, we (2) jointly enrich both the T-Box and the A-Box parts of our target KB, through the discovery of candidate relations and the extraction of facts respectively. We achieve this with a (3) shallow layer of NLP technology only, namely grammatical analysis, instead of more sophisticated ones, such as syntactic parsing. Finally, we ensure a (4) fully supervised learning paradigm via an affordable crowdsourcing methodology. Our work concurrently bears the advantages and leaves out the weaknesses of RE and OIE: although we assess it in a closed-domain fashion via a use case (Section 3), the corpus analysis module (Section 5) allows to discover an exhaustive set of relations in an open-domain way. In addition, we overcome the supervision cost bottleneck trough crowdsourcing. Therefore, we believe our approach can represent a trade-off between open-domain high noise and closed-domain high cost."
    } ]
  } ],
  "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#assertion"
}, {
  "@graph" : [ {
    "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#assertion",
    "http://www.w3.org/ns/prov#hadPrimarySource" : [ {
      "@id" : "http://dx.doi.org/10.3233/SW-170269"
    } ],
    "http://www.w3.org/ns/prov#wasAttributedTo" : [ {
      "@id" : "https://orcid.org/0000-0002-5456-7964"
    } ]
  } ],
  "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#provenance"
}, {
  "@graph" : [ {
    "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o",
    "http://purl.org/dc/terms/created" : [ {
      "@type" : "http://www.w3.org/2001/XMLSchema#dateTime",
      "@value" : "2019-11-10T18:05:11+01:00"
    } ],
    "http://purl.org/pav/createdBy" : [ {
      "@id" : "https://orcid.org/0000-0002-7114-6459"
    } ]
  } ],
  "@id" : "http://purl.org/np/RACkP7twY8S78bRsLIuOMK3Zfr0qPmu2s4yVvTOy4qI5o#pubinfo"
} ]