Person Attribute Extraction from the Textual Parts of Web Pages

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.

• Type: Conference
• Year: 2010
• Where: CLEF
• Authors: István Nagy, Richárd Farkas
• Keywords: Attribute Extraction Subtask, CLEF 2010, Information Technology, Raw Textual Parts, RGAI Systems