Biography Joseph Turian has been working on artificial intelligence research since 1996. His focus is on using sophisticated machine learning techniques to approach large-scale problems in natural language. He is currently a post-doctoral research fellow at the Université de Montréal, studying deep learning methods with Professor Yoshua Bengio, Canada Research Chair in Statistical Learning Algorithms. Dr. Turian received his Ph.D. and M.S. in Computer Science from New York University and his A.B. in Computer Science from Harvard University (cum laude).
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Work address (physical)
2920 Chemin de la Tour Montréal, Québec, Canada, H3T 1J4 |
Work address (mail):
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Joseph Turian, James Bergstra and Yoshua Bengio (2009).
Quadratic Features and Deep Architectures for Chunking.
[PDF]
North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT) 2009, Boulder, CO.
Benjamin Wellington, Joseph Turian, and I. Dan Melamed (2009).
Towards Purely Discriminative Training for Tree-Structured Translation Models.
[PS]
[PDF]
In: Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster.
Learning Machine Translation. MIT Press. pp. 131-149.
Joseph Turian (2007).
Constituent Parsing by Classification.
[PS.GZ]
[PDF]
Ph.D. thesis, New York University, New York, NY.
Advisor: I. Dan Melamed.
Committee:
Michael Collins,
Ralph Grishman,
Mehryar Mohri, and
Satoshi Sekine.
Joseph Turian, Benjamin Wellington, and I. Dan Melamed (2007).
Scalable Discriminative Learning for Natural Language Parsing and Translation.
[PS]
[PDF]
20th Annual Conference on Neural Information Processing Systems (NIPS 19), Vancouver, BC.
Benjamin Wellington, Joseph Turian, Chris Pike, and I. Dan Melamed (2006).
Scalable Purely-Discriminative Training for Word and Tree Transducers.
[PS]
[PDF]
7th Biennial Conference of the Association for Machine Translation in the Americas (AMTA-06), Boston, MA.
The relevant software, GenPar, is publicly available.
Joseph Turian and I. Dan Melamed (2006).
Advances in Discriminative Parsing.
[PS]
[PDF]
Conference of the International Committee on Computational Linguistics
and the Association for Computational Linguistics (COLING/ACL), Sydney,
Australia.
The relevant software is publicly available.
Joseph Turian and I. Dan Melamed (2006).
Computational Challenges in Parsing by Classification.
[PS]
[PDF]
HLT-NAACL Workshop on Computationally Hard Problems and Joint Inference
in Speech and Language Processing, New York, NY.
Joseph Turian and I. Dan Melamed (2005).
Constituent Parsing by Classification.
[PS]
[PDF]
9th International Workshop on Parsing Technologies (IWPT), Vancouver, BC.
Joseph Turian, Luke Shen, and I. Dan Melamed (2003).
Evaluation of Machine Translation and its Evaluation.
[PS]
[PDF]
Proteus technical report #03-005, a revised version of the paper
presented at MT Summit IX, New Orleans, LA.
The relevant software, GTM,
is publicly available.
I. Dan Melamed, Ryan Green and Joseph Turian (2003).
Precision and Recall of Machine Translation.
[PS]
[PDF]
Proteus technical report #03-004, a revised version of the paper
presented at HLT-NAACL 2003, Edmonton, AB.