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Summary Report, Fall 2010

Summary Report, Fall 2010. Research: Exploiting Text-Rich Information Network for Topic Modeling and Object Clustering (Preparing for KDD’11) Cross-document Entity Resolution for News Articles Extract Information Network from News Articles Joint work:

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Summary Report, Fall 2010

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  1. Summary Report, Fall 2010 • Research: • Exploiting Text-Rich Information Network for Topic Modeling and Object Clustering (Preparing for KDD’11) • Cross-document Entity Resolution for News Articles • Extract Information Network from News Articles • Joint work: • One paper at ICDM’10 (with Heli, Jianbin, Jiawei, Peixiang) • One paper at CIKM’10 (with Jianbin, Heli, Jiawei, Yizhou) • Services: • PC : WSDM’11, NIPS-MLSC workshop • External Reviewer: ICDE’11, WWW’11, ACM TIST • Others • Courses: CS598CXZ Advanced Topics in IR, CS591 DM Seminar • Attend INARC APP kickoff meeting at CUNY

  2. Exploiting Text-Rich Information Network for Topic Modeling and Object Clustering • Objective: To find a set of topics and cluster different types of objects simultaneously • Intuition: The topics of a document tend to be consistent with the topics of its authors and conference. Basic idea: Incorporate heterogeneous information network into topic modeling

  3. Experimental Results With Prior Information

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