Theses most similar to those of author Bodnari, Andreea

A medication extraction framework for electronic health records (2012) read it

TagMeds : a tool for populating eXtensible Markup Language documents with UMLS concept unique identifiers of current medications

Nakrin, Andrew S. (Andrew Steven), 1952- (2001)

  • Advisor: Laurence R. Young nd Peter Szolovits
  • Department of Electrical Engineering and Computer Science
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Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy

Bhooshan, Neha (2005)

  • Advisor: Peter Svolovits
  • Department of Electrical Engineering and Computer Science
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Automatic analysis of medical dialogue in the home hemodialysis domain : structure induction and summarization

Lacson, Ronilda Covar, 1968- (2005)

  • Advisor: William J. Long
  • Department of Electrical Engineering and Computer Science
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Free text phrase encoding and information extraction from medical notes

Shu, Jennifer (Jennifer J.) (2005)

  • Advisors: Laurence R. Young nd Peter Szolovits; Roger T. Mar
  • Department of Electrical Engineering and Computer Science
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Was the patient cured? : understanding semantic categories and their relationship in patient records

Sibanda, Tawanda Carleton (2006)

  • Advisors: Laurence R. Young nd Peter Szolovits; Ozlem Uzune
  • Department of Electrical Engineering and Computer Science
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Medical data mining : improving information accessibility using online patient drug reviews

Li, Yueyang Alice (2011)

  • Advisor: Stephanie Seneff
  • Department of Electrical Engineering and Computer Science
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Improving speech recognition accuracy for clinical conversations

Gür, Burkay (2012)

  • Advisor: Laurence R. Young nd Peter Szolovits
  • Department of Electrical Engineering and Computer Science
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Word sense disambiguation in clinical text

Chasin, Rachel (Rachel G.) (2013)

  • Advisor: Laurence R. Young nd Peter Szolovits
  • Department of Electrical Engineering and Computer Science
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Spoken language understanding in a nutrition dialogue system

Korpusik, Mandy B (2015)

  • Advisor: Dr. James R. Glass
  • Department of Electrical Engineering and Computer Science
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Information extraction with neural networks

Lee, Ji Youn (2017)

  • Advisor: Laurence R. Young nd Peter Szolovits
  • Department of Electrical Engineering and Computer Science
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Joint multilingual learning for coreference resolution (2014) read it

Exploiting syntactic relations for question answering

Loreto, Daniel (2006)

  • Advisor: Boris Katz
  • Department of Electrical Engineering and Computer Science
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A tree-to-tree model for statistical machine translation

Cowan, Brooke A. (Brooke Alissa), 1972- (2008)

  • Advisor: Michael J. Collins
  • Department of Electrical Engineering and Computer Science
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Combining phrase-based and tree-to-tree translation

Lieberman, Michael (Michael R.) (2008)

  • Advisor: Michael Collins
  • Department of Electrical Engineering and Computer Science
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Unsupervised multilingual learning

Snyder, Benjami (2010)

  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
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Using linguistic knowledge in statistical machine translation

Zbib, Rabih M. (Rabih Mohamed), 1974- (2010)

  • Advisors: Dr. James R. Glass; Lerman, Steven R
  • Department of Civil and Environmental Engineering
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Parsing with sparse annotated resources

Zhang, Yua (2013)

  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
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Domain knowledge acquisition via language grounding

Lei, Ta (2013)

  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
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Word sense disambiguation in clinical text

Chasin, Rachel (Rachel G.) (2013)

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

Luo, Jiamin (2017)

  • Advisor: Regina Barzilay
  • Department of Electrical Engineering and Computer Science
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