Vincent Ng

Professor of Computer Science
Human Language Technology Research Institute
University of Texas at Dallas

Contact Information

Office hours for Fall 2017:
   Mondays and Wednesdays 7:00-7:50 PM

Office:
ECSS 3.404
Phone: 972-883-4581 (office), 972-883-2349 (fax)
Email: vince at hlt dot utdallas dot edu

Postal address:
Computer Science Department
The University of Texas at Dallas
800 W. Campbell Road, MS EC31
Richardson, TX 75080-3021, USA
                 

[ Research (Overview, Papers, Data, Code/Software, Talks) | Professional Activities | Teaching | Miscellaneous ]

UT Dallas CS undergrads: If you received an A or A+ in at least one of my courses and are interested in the Ph.D. program, feel free to come talk to me.

Potential Ph.D. applicants: Owing to the large number of emails I have to process every day, I will not be able to respond to your emails unless I am interested in your application. Feel free to send me your CV, transcripts, and standardized test scores; if you do not hear from me within a week, it probably means that I am not interested in your application.


Upcoming Events


Research

My general research area is machine learning of natural language. My recent projects have focused primarily on developing unsupervised and semi-supervised machine learning techniques for natural language processing, with the goal of reducing the amount of annotated data needed to build NLP applications and process resource-scarce languages. Areas in which my group has been working include:

More recently, I have collaborated with other research groups and worked on non-NLP problems. I am particularly interested in developing and applying search and learning techniques to computational problems that arise in areas such as:

Some items that may be of interest:


Professional Activities

  • Local organizer, North American Computational Linguistics Olympiad (NACLO) Dallas site (2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018)
  • National Science Foundation CISE IIS review panel (2008, 2009, 2010, 2014, 2016)
  • Information officer, SIGHAN (2014-2017)
  • Journal editorial boards
  • Recent conference committees
    • Best Paper Award Committee, The Sixth Conference on Natural Language Processing and Chinese Computing (NLPCC 2017)
    • Senior Program Committee, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018)
    • Best Paper Award Committee, 26th International Conference on Computational Linguistics (COLING 2016)
    • Steering Committee, 11th International Workshop on Semantic Evaluation (SemEval 2017)
    • Senior Program Committee, Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017)
    • Student Scholarship Chair and Student Volunteer Coordinator, 2016 Conference on Empirical Methods in NLP (EMNLP 2016)
    • Area Chair, 26th International Conference on Computational Linguistics (COLING 2016)
    • Senior Program Committee, Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016)
    • Area chair, the 2015 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2015)
  • Recent tutorials
    • IJCAI 2017 Tutorial (Aug 21, 2017): Markov Logic Networks: Recent Advances and Practical Applications (with D. Venugopal)
    • EMNLP 2016 Tutorial (Nov 1, 2016): Advanced Markov Logic Techniques for Scalable Joint Inference in NLP (with D. Venugopal and V. Gogate)
    • IJCAI 2016 Tutorial (July 11, 2016): Coreference Resolution: Successes and Challenges
    • Tutorial given at the 10th CIPS Summer School on Human Language Technology (July 24, 2015): Coreference Resolution
  • Workshop co-organizer
    • EACL 2017 Workshop on Coreference Resolution Beyond OntoNotes (CORBON 2017)
    • COLING 2016 Workshop on Natural Language Processing Techniques for Educational Applications (NLP-TEA-3)
    • NAACL HLT 2016 Workshop on Coreference Resolution beyond OntoNotes (CORBON 2016)
    • The 8th SIGHAN Workshop on Chinese Language Processing (SIGHAN-8)
  • Journal referee [I am overwhelmed with reviewing and cannot accept journal review requests at this time unless they are from CL.]
  • University committees
    • Vice Chair, Senate Committee on Effective Teaching (2015-2017)
    • Member, UT Dallas ROTA selection committee (2017)
    • Member, selection committee for President's Award for Undergraduate Teaching for Tenured/Tenure-track and Contingent Faculty
  • More ...

Teaching

  • CS 4365: Artificial Intelligence (Spring 2006, 2007, 2008, 2009, 2010, 2012, 2013, 2014, 2015, 2016, 2017, 2018)
  • CS 4365H: Artificial Intelligence Honors (Spring 2010, 2011, 2012, 2013, 2014, 2017, 2018)
  • CS 4375: Introduction to Machine Learning (Fall 2006, 2007, 2008, 2009, 2011, 2012, 2013, 2014, 2015, 2016, 2017; Spring 2016)
  • CS 6364: Artificial Intelligence (Spring 2009, 2011)
  • CS 6375: Machine Learning (Fall 2005, 2006, 2007, 2010; Spring 2014 (co-taught with Yang Liu))
  • CS 2305: Discrete Math for Computing I (Fall 2004)

Miscellaneous

  • Computer Science Rankings: a conference publication-based ranking of CS departments
  • Most Influential Scholars: a ranking of CS researchers by the cumulative number of citations of top conference papers
  • I am the professor of artificial intelligence for the undergrads. I have had some good times with them in events like this and this.
  • I was asked many times whether Andrew Ng is my brother. He isn't, but we were introduced to each other by a common friend when we were undergrads.
  • In case you want to know whether you are my doctoral cousin, here is my doctoral ancestry (and the years in which they obtained their degrees): Claire Cardie (1994) → Wendy Lehnert (1977) → Roger Schank (1969) → Jacob Mey (1960) → Louis Hjelmslev (1923) → Holger Pedersen (1897).

Last modified: Fri Aug 25 23:17:56 2017

web analytics