Vincent Ng

Associate Professor, Computer Science Department
Member, Human Language Technology Research Institute

Contact Information

Office hours for Spring 2016 (will end on April 27):
   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 | Miscellany ]

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

  • NAACL HLT 2016 Workshop (June 16): CORBON: Coreference Resolution Beyond OntoNotes (with Maciej Ogrodniczuk)
  • IJCAI 2016 Tutorial (July 9-11): Coreference Resolution: Recent Successes and Future Directions
  • EMNLP 2016 Tutorial (Nov 2): Advanced Markov Logic Techniques for Scalable Joint Inference in NLP (with Deepak Venugopal and Vibhav Gogate)

Research Interests

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:


Research


Professional Activities


Miscellaneous Stuff


Last modified: Fri Jan 29 23:17:56 2016

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