Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction

HIGHLIGHTS

  • who: Hassan Alrehamy from the School of Computer Science and Informatics, Cardiff University, Cardiff, UK have published the paper: Exploiting extensible background knowledge for clustering-based automatic keyphrase extraction, in the Journal: (JOURNAL)
  • what: To overcome this, the authors design a novel procedure for extending WordNet coverage by integrating external knowledge bases that use ontology-based schemas for structuring their knowledge, such as DBPedia, BabelNet (Navigli and Ponzetto 2012), Yago (Hoffart et_al 2013), and any ad hoc (specialized or personalized) knowledge bases. From the empirical observation, the authors suggest that direct selection of centroids resulting . . .

     

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