Person Attribute Extraction from the Textual Parts of Web Pages | Zendy

Tünde Nagy | Zendy

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Person Attribute Extraction from the Textual Parts of Web Pages

Author(s) -

Tünde Nagy

Publication year - 2012

Publication title -

acta cybernetica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.143

H-Index - 18

eISSN - 2676-993X

pISSN - 0324-721X

DOI - 10.14232/actacyb.20.3.2012.4

Subject(s) - computer science , task (project management) , focus (optics) , information retrieval , annotation , web page , world wide web , cluster analysis , interdependence , information extraction , web search engine , natural language processing , artificial intelligence , web development , engineering , optics , law , physics , systems engineering , political science

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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