Person Attribute Extraction from the Textual Parts of Web Pages

نویسندگان

  • István Nagy T.
  • Richárd Farkas
چکیده

We present the RGAI systems which participated in the third Web People Search Task challenge. The chief characteristics of our approach are that we focus on the raw textual parts of the Web pages instead of the structured parts, we group similar attribute classes together and we explicitly handle their interdependencies. The RGAI systems achieved top results on the attribute extraction subtask, and average results on the clustering subtask.

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عنوان ژورنال:
  • Acta Cybern.

دوره 20  شماره 

صفحات  -

تاریخ انتشار 2010