Theses most similar to Interpretable neural models for natural language processing (Lei, Ta; 2017) read it

Multi-tape finite-state transducer for asynchronous multi-stream pattern recognition with application to speech

Shu, Han (2006)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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Language Modeling for limited-data domains

Hsu, Bo-June (Bo-June Paul) (2009)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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Using graphone models in automatic speech recognition

Wang, Stanley Xinlei (2009)

  • Advisors: Dr. James R. Glass; I. Lee Hetherington
  • Department of Electrical Engineering and Computer Science
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Text structure-aware classification

Dzunic, Zora (2009)

  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
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Two new approaches for learning Hidden Markov Models

Kim, Hyun So (2010)

  • Advisor: Leslie P. Kaelbling
  • Department of Electrical Engineering and Computer Science
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E-mail classification in the Haystack framework

Rosen, Mark (Mark Abraham), 1980- (2003)

  • Advisor: David R. Karger
  • Department of Electrical Engineering and Computer Science
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Sculpting representations for deep learning

Rippel, Oren (2016)

  • Advisors: Ankur Moitra; Ryan P. Adam
  • Department of Mathematics
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Deep unsupervised learning from speech

Drexler, Jennifer Fox (2016)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition

Sun, Felix (Felix W.) (2016)

  • Advisor: James Glass
  • Department of Electrical Engineering and Computer Science
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Sequential short-text classification with neural networks

Dernoncourt, Franck (2017)

  • Advisor: Laurence R. Young nd Peter Szolovits
  • Department of Electrical Engineering and Computer Science
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