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Besides that, we exploit the notion of core FEs: this would cater for the frame disambiguation part. Since a frame may contain at least one core FE, we proceed with a relaxed assignment, namely we set the frame if a given input sentence contains at least one entity whose ontology class maps to a core FE of that frame. The implementation workflow is illustrated in Algorithm 1: it takes as input the set S of sentences, the frame repository F embedding frame and FEs labels, core/non-core annotations and rule pairs, and the set L of trigger LU tokens.
http://purl.org/np/RAL3UTwOZRUQoYs50nnkBxumsY0nvAxiwqAAyDlR61hTI#paragraph
http://www.w3.org/1999/02/22-rdf-syntax-ns#type
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http://dx.doi.org/10.3233/SW-170269
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2019-11-10T18:05:11+01:00
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