HUST

Thien Huu Nguyen

Ph.D. Candidate
Department of Computer Science
Courant Institute of Mathematical Sciences
New York University
Office: 719 Broadway Room 706, New York, NY 10003, U.S.A.
Email: thien [at] cs [dot] nyu [dot] edu
Office Phone: 212-998-3523

CURRICULUM VITAE

News
  • I have been awarded the Dean's Dissertation Fellowship (GSAS, NYU) and the IBM Ph.D. Fellowship (2016-2017)!
  • One paper accepted at NAACL 2016 (March 2016)
  • Research Intern at the IBM T.J. Watson Research Center, Yorktown Heights, New York (working with Dr. Radu Florian, Dr. Avirup Sil and Dr. Georgiana Dinu (June-August, 2015)
  • I have successfully defensed my thesis proposal. Proposal Committee: Prof. Ralph Grishman, Prof. Yann Lecun, Prof. Adam Meyers (May, 2015)
  • Two papers accepted at ACL-IJCNLP 2015!
  • One paper accepted at the NAACL Workshop on Vector Space Modeling for NLP 2015 (April 2015)
  • Ranked 2nd on the Cold Start Evaluation at TAC 2014
  • One paper accepted at ACL 2014 (April 2014)
Education
  • New York University (NYU) (Since 2012)
    • Ph.D. Candidate in Computer Science (May 2017, expected)
  • Hanoi University of Science and Technology (HUST), 2006-2011
    • B.S. in Computer Science
    • Thesis: Extracting named entities from Vietnamese documents: a semi-supervised approach
Biography

I am a fourth-year Ph.D. student in the Computer Science Department of New York University. My broad areas of interest are Natural Language Processing and Machine Learning.
Currently, I am investigating applications of neural networks and embedding technique to Information Extraction.
Before that, I have worked on the Domain Adaption problem for Information Extraction as well as the Knowledge Base Population systems.
My advisor is Prof. Ralph Grishman, the founder of the Proteus Project.

Publications
  1. Joint Event Extraction via Recurrent Neural Networks [pdf]
    Thien Huu Nguyen, Kyunghyun Cho and Ralph Grishman, in Proceedings of NAACL 2016, San Diego, June, 2016.

  2. A Two-stage Approach for Extending Event Detection to New Types via Neural Networks [To appear]
    Thien Huu Nguyen, Lisheng Fu, Kyunghyun Cho and Ralph Grishman, in Proceedings of Workshop on Representation Learning for NLP, ACL 2016, Berlin, Germany.

  3. Combining Neural Networks and Log-linear Models to Improve Relation Extraction [To appear]
    Thien Huu Nguyen and Ralph Grishman, in Proceedings of Workshop on Deep Learning for Artificial Intelligence, IJCAI 2016, New York, USA.

  4. Toward Mention Detection Robustness with Recurrent Neural Networks [To appear]
    Thien Huu Nguyen, Avirup Sil, Georgiana Dinu, and Radu Florian, in Proceedings of Workshop on Deep Learning for Artificial Intelligence, IJCAI 2016, New York, USA.

  5. Improving Event Detection with Abstract Meaning Representation [pdf]
    Xiang Li, Thien Huu Nguyen, Kai Cao, and Ralph Grishman, in Proceedings of ACL-IJCNLP Workshop on Computing News Storylines (CNewS 2015), Beijing, China, July, 2015.

  6. Event Detection and Domain Adaptation with Convolutional Neural Networks [pdf]
    Thien Huu Nguyen and Ralph Grishman, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 2015.

  7. Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction [pdf]
    Thien Huu Nguyen, Barbara Plank and Ralph Grishman, in Proceedings of ACL-IJCNLP 2015, Beijing, China, July, 2015.

  8. Relation Extraction: Perspective from Convolutional Neural Networks [pdf]
    Thien Huu Nguyen, Ralph Grishman, in Proceedings of NAACL Workshop on Vector Space Modeling for NLP, Denver, Colorado, June, 2015.

  9. New York University 2014 Knowledge Base Population Systems [pdf]
    Thien Huu Nguyen, Yifan He, Maria Pershina, Xiang Li, Ralph Grishman, in Proceedings of Text Analysis Conference (TAC), Gaithersburg, Maryland, USA, November 2014.

  10. Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction [pdf]
    Thien Huu Nguyen, Ralph Grishman, in Proceedings of ACL 2014, Baltimore, Maryland, USA, June 2014.

  11. Combining Proper Name-Coreference with Conditional Random Fields for Semi-supervised Named Entity Recognition in Vietnamese Text [pdf]
    Rathany Chan Sam, Huong Thanh Le, Thuy Thanh Nguyen, and Thien Huu Nguyen, in Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Shenzhen, China, May, 2011.
Internship
  • June 2015 - August 2015: Research Intern, IBM T.J. Watson Research Center, Yorktown Heights, New York, USA,
Professional Service
  • Reviewer: Neural Computation Journal
Teaching Experience
  • Natural Language Processing, Computer Science Department, New York University, Srping 2015