Graduated Students

"Much have I learned from my teachers, more from my colleagues, but from my students, most of all."
—Rabbi Hanina (b. Ta'anit 7a)

PhD Students Advised (16)
  • Dr. Anthony FaderIndependent Consultant in NLP • "Open Information Extraction" • 2014
  • Dr. Alan RitterThe Ohio State University • "Information Extraction in Social Media" • 2013
  • Dr. Thomas LinMicrosoft • Leveraging Knowledge Bases in Web Text Processing • 2012
  • Dr. Stefan SchoenmackerseBay • Inference over the Web • 2011
  • Dr. Michele BankoMicrosoft • Open Information Extraction for the Web • 2009 Investigated the problem of extracting information from arbitrary Web text in a scalable, domain-independent manner.
  • Dr. Mike CafarellaUniversity of Michigan • Extracting and Managing Structured Web Data • Co-advisors: Dan Suciu and Alon Halevy • 2009 Bridged the gap between information extraction and databases.
  • Dr. Doug DowneyNorthwestern University • Redundancy in Web-scale Information Extraction: Probabilistic Model and Experiment Result • 2008 Investigated in depth what we can learn from finding extractions repeatedly in the Web corpus.
  • Dr. Alex YatesTemple University • Information Extraction from the Web: Techniques and Applications • 2007 Investigated the problem of unsupervised synonym resolution on the Web.
  • Dr. Ana-Maria PopescuPinterest • Information Extraction from Unstructured Web Text • 2007 Investigated how to extract high-quality information from Web text. Her most impressive demonstration was the Opine system, which extracted product attributes, and associated opinions, from reviews found on-line.
  • Dr. Luke McDowellU.S. Naval Academy • Bringing Meaning to the Masses • Co-advisor: Alon Halevy • 2004 Investigated how to make the Semantic Web a reality and how to generalize the vision to encompass email as well.
  • Dr. Mike PerkowitzHBO • Adaptive Web Sites • 2000 Investigated web sites that automatically reconfigure their layout and presentation by analyzing user access patterns recorded in their server logs.
  • Dr. Oren ZamirGoogle • Clustering Web Documents: A Phrase-Based Method for Grouping Search Engine Results • 1999 Investigated the use of a novel and fast clustering algorithm to group the results of Web search engines into easily-browsed clusters. The most distinctive aspect of the algorithm was its treatment of documents as strings of words, represented by a suffix tree, in contrast with the standard vector-based representation.
  • Dr. Erik SelbergMicrosoft • Towards Comprehensive Web Search • 1999 Explored meta-search as embodied in MetaCrawler. The dissertation was the first to show (back in WWW4, 1995) that the fraction of the Web covered by individual search engines such as Alta Vista and Lycos was very limited, demonstrating the need for meta-search engines.
  • Dr. Keith GoldenNASA Ames, Google • Planning Support for Softbots • 1997 Investigated novel planning and knowledge representation techniques to support softbots.
  • Dr. Neal LeshDimagi • Scalable and Adaptive Goal Recognition • 1997 Focused on automating the construction of plan libraries adapting techniques from planning and concept learning. His objective was to scale up goal recognition to domains containing millions of plans and goals.
  • Dr. Richard SegalIBM Watson research center • Machine Learning as Massive Search • 1996 Focused on data mining using massive search: our BRUTE data mining software can analyze over 100,000 hypotheses per second, when run on a SPARC-10.
MA Students Advised (4)
  • Tessa LauSavioke • "Privacy in a Collaborative Web Browsing Environment" • 1997 • UW PhD with Weld and Domingos, 2001
  • Marc LangheinrichUniversity of Lugano in Switzerland • "A domain independent architecture for efficient information retrieval on the World Wide Web" • 1997 • PhD at the University of Bielefeld
  • Jonathan ShakesAmazon • "Dynamic Reference Sifting: a Case Study in the Homepage Domain" • 1996
  • Terrance GoanStottler Henke • "Learning About Software Errors" • 1994
Undergraduate Students Advised (22)
  • Michael Skinner • Google • 2008
  • Michael Schmitz • Allen Institute for Artificial Intelligence • 2007
  • Kobi Reiter • Google • 2006
  • Bao Nguyen • Microsoft • 2005
  • Michael Lindmark • Amazon • 2005
  • Tessa MacDuff • Google • 2004
  • Jeff Lin • Microsoft • 2003
  • Gary Lau • Go2Net • 1999
  • Zhenya Sigal • Microsoft • 1997
  • Christen Boyd • Netbot • 1997
  • Darren Schack • Real Networks • 1996
  • Adam Loving 1996
  • Nick Hart • Real Networks • 1996
  • Nels Benson • Japan • 1995
  • Dymitr Mozdyniewicz • Quark • 1995
  • Guido Hunt 1994
  • Greg Fichtenholtz • Hewlett-Packard, Stanford • 1994
  • William Alford • PhD program, University of Wisconsin • 1994
  • Robert Spiger • Lockheed, AI research center • 1993
  • Bruce Lesourd 1993
  • Julie Roomy • Hewlett-Packard, OGI • 1993
  • Stephen Soderland • PhD program, Umass Amherst, now research scientist at UW CSE • 1992