Theses most similar to InfoCrystal, a visual tool for information retrieval (Spoerri, Anselm; 1995) read it

Annotation persistence over dynamic documents

Wang, Shaomin, 1969- (2005)

  • Advisor: Lerman, Steven R
  • Department of Civil and Environmental Engineering
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The information regularization framework for semi-supervised learning

Corduneanu, Adrian (Adrian Dumitru), 1977- (2006)

  • Advisor: Jaakkola, Tommi S. (Tommi Sakari)
  • Department of Electrical Engineering and Computer Science
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Matching sets of features for efficient retrieval and recognition

Grauman, Kristen Lorraine, 1979- (2006)

  • Advisor: Darrell, Trevor
  • Department of Electrical Engineering and Computer Science
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The expected metric principle for probabilistic information retrieval

Chen, Harr (2007)

  • Advisor: David R. Karger
  • Department of Electrical Engineering and Computer Science
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Extracting information from informal communication

Rennie, Jason D. M. (Jason Daniel Malyutin), 1976- (2007)

  • Advisor: Jaakkola, Tommi S. (Tommi Sakari)
  • Department of Electrical Engineering and Computer Science
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Sparse multi-level representations for text retrieval

Isbell, Charles L. (Charles Lee) (1998)

  • Advisors: Paul A. Viola; Rodney A. Brooks
  • Department of Electrical Engineering and Computer Science
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Improving search quality of the Google search appliance

Nguyen, Huy, M. Eng (Huy Le) (2009)

  • Advisors: David Elworth; Regina Barzilay
  • Department of Electrical Engineering and Computer Science
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Learning to reformulate long queries

Gupta, Neh (2010)

  • Advisor: Jaakkola, Tommi S. (Tommi Sakari)
  • Department of Electrical Engineering and Computer Science
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Harvesting and summarizing user-generated content for advanced speech-based human-computer interaction

Liu, Jingjin (2012)

  • Advisors: Stephanie Seneff; Victor W. Zue
  • Department of Electrical Engineering and Computer Science
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Learning to answer questions from semi-structured knowledge sources

Morales, Alvar (2016)

  • Advisor: Boris Katz
  • Department of Electrical Engineering and Computer Science
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