Academics

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PUBLICATIONS

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E-mail: hvn3{at)pitt|dot]edu

News

  • Spring, 2017: Defensed PhD thesis on Context-aware Argument Mining and Its Application in Education.
  • Spring, 2016: Passed the proposal defense.
  • Fall, 2014: Passed the comprehensive exam.
  • Fall, 2012: Passed the preliminary exam.
  • Fall, 2012: Passed the course requirement.
  • PhD Dissertation

    Context-aware Argument Mining and Its Application in Education

  • Final draft
  • Slides
  • Comprehensive exam

    Topic 1

    Argumentation Mining in Natural Language Text. Reading and Slides

    Topic 2

    Aspect-based Sentiment Analysis. Reading and Slides

    Topic 3

    Deep Learning and Applications to NLP. Reading and Slides

    Courses (see Resources for some presentations)

    Spring 2014

  • CS 3730 Advanced Topics in Natural Language Processing by Prof. Rebecca Hwa
  • Fall 2013

  • Coursera course: Big Data in Education by Ryan Baker
  • Spring 2013

  • CS 3730 Advanced Topics in Natural Language Processing (Opinion Extraction and Sentiment Analysis) by Prof. Jan Wiebe
  • Fall 2012

  • CS 2610 Research Topics in Human Computer Interaction by Prof. Jingtao Wang
  • CS 3710 Advanced Topics in Artificial Intelligence (Natural Language Processing for Extracting Social and Interactional Meaning) by Prof. Diane Litman
  • Spring 2012

  • LTI 11-719 Computational Models of Discourse Analysis by Prof. Carolyn Rose
  • CS 2520 High Speed Wide Area Networks by Prof. Taieb Znati
  • Fall 2011

  • CS 2410 Computer Architecture by Prof. Sangyeun Cho
  • CS 2731 Introduction to Natural Language Processing by Prof. Diane Litman
  • CS 3750 Advanced Machine Learning by Prof. Milos Hauskrecht
  • Spring 2011

  • CS 2002 Research Experience in Computer Science
  • CS 2150 Design and Analysis of Algorithms by Prof. Kirk Prushs
  • CS 2750 Machine Learning by Prof. Milos Hauskrecht
  • Fall 2010

  • CS 2001 Research Topics in Computer Science
  • CS 2530 Computer and Network Security by Prof. Adam Lee
  • CS 2710 Foundations of Artificial Intelligence by Prof. Diane Litman
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