AMIT GOYAL

Contact:

Amit Goyal
School of Computing, Room #3190
50 S, Central Campus Drive, University of Utah
Salt Lake City, Utah - 84112-9205

(Office: 4158A, Merrill Engineering Building)
Email: amitg AT cs DOT utah DOT edu

I am a second-year computer science Ph.D. student at School of Computing, University of Utah. My advisor is Hal Daumé III. I am interested in NLP and machine learning, particularly in the context of semi-supervised learning. Along with my advisor, I also collaborate with Suresh Venkatasubramanian on using streaming paradigm to addresss large-scale NLP problems. Besides, I have also worked on information extraction using pattern-based approach with Siddharth Patwardhan.

I did my Bachelors with Honors in Computer Science and Engineering from IIIT, Hyderabad , India. I have worked with Rajeev Sangal on clause boundary identification, named-entity recognition and studied parsing for my undergraduate thesis.

Publications

Streaming for Large Scale NLP: Language Modeling [PDF] [SLIDES] [BIB]
Amit Goyal, Hal Daumé III and Suresh Venkatasubramanian.
North American Association for Computational Linguistics 2009