Deepak Ravichandran

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Deepak Ravichandran, Ph.D., is currently a Research Scientist at Google. His general research interests are in the area of Natural Language Processing and Unsupervised Machine Learning algorithms. He received his Ph.D. in computer science from the University of Southern California in 2005.

Publications

• Large Scale Acquisition of Paraphrases for Learning Surface Patterns, Rahul Bhagat, Deepak Ravichandran, ACL-2008 (to appear).

• Video Suggestion and Discovery for YouTube: Taking Random Walks Through the View Graph, Shumeet Baluja, Rohan Seth, D. Sivakumar, Yushi Jing, Jay Yagnik, Shankar Kumar, Deepak Ravichandran, Mohamed Aly, WWW-2008.

Prior Publications

• Mining and Re-ranking for Answering Biographical Queries on the Web, Donghui Feng, Deepak Ravichandran, Eduard H. Hovy, AAAI-2006.

• Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Clustering, Deepak Ravichandran, Patrick Pantel, Eduard Hovy, ACL-2005.

• Automatically Labeling Semantic Classes, Patrick Pantel, Deepak Ravichandran, HLT-NAACL, 2004, pp. 321-328.

• Automatic Derivation of Surface Text Patterns for a Maximum Entropy Based Question Answering System, Deepak Ravichandran, Abraham Ittycheriah, Salim Roukos, HLT-NAACL-2003.

• Learning surface text patterns for a Question Answering System, Deepak Ravichandran, Eduard H. Hovy, ACL, 2002, pp. 41-47.

• Using Knowledge to Facilitate Factoid Answer Pinpointing, Eduard H. Hovy, Ulf Hermjakob, Chin-Yew Lin, Deepak Ravichandran, COLING-2002.