Delip Rao
PhD student, Year 2
Department of Computer Science
& Center for Language and Speech Processing
Johns Hopkins University
Research Interests:
Broad Areas: Statistical Language Processing and Machine Learning
Specific: Information
Extraction, Information
Retrieval, Text Mining, Social Network Analysis, and Case Based
Reasoning.
Advisor: Prof. David Yarowsky
- Education:
- Ph.D. Student, Computer Science, Johns Hopkins University, 2006-????
- M.S., Computer Science, Indian Institute
of Technology, Madras, 2004-2006
- B.E., Computer Science and Engineering, R. V. College of
Engineering, Bangalore, 1998-2002
Associated
Labs:
- Natural Language Processing
- Center for Language and Speech
Processing
Contact Information:
NEB 331
Department of Computer Science
Johns Hopkins University
3400
N. Charles Street,
Baltimore, MD - 21218
Phone: 410-516-0054 (office)
E-mail: delip AT jhu DOT edu
Resume/References:
Please contact me.
Publications:
- Delip Rao, Nikesh Garera, and David Yarowsky, "An Unsupervised Approach to Person Name Disambiguation using Web Snippets ", Proceedings of International Workshop on Semantic Evaluations (ACL SemEval), 2007
- Delip Rao and David Yarowsky, "Part
of Speech Tagging and Shallow Parsing for Indian Languages",
Proceedings of the workshop on Shallow Parsing for South Asian
Languages, at the International Joint Conference in Artificial
Intelligence (IJCAI), 2007
- Delip Rao and Deepak Khemani, "Discovering
Semantic Similarity from the World Wide Web", Proceedings of the
workshop on Text Mining and Link Analysis, at the International Joint
Conference in Artificial Intelligence (IJCAI), 2007
- Delip Rao and Deepak Khemani, "Social
Network Analysis of Natural Language Text", Proceedings of the
International Conference in Natural Language Processing (ICON), 2007
- Deepak P, Delip Rao, and Deepak Khemani, "Differential Voting in Case Based Spam
Filtering", Proceedings of the Industrial Conference on Data
Mining (ICDM), 2006
- Delip Rao, Deepak P, and Deepak Khemani, "Corpus Based
Unsupervised Labeling of Documents", Proceedings of the Florida
International Artificial Intelligence Research Society (FLAIRS), 2006
- Delip Rao, Sachindra Joshi, Ganesh Ramakrishnan, Sreeram
Balakrishnan, and Ashwin Sreenivasan, "VisualRDR:
A general framework for creating, maintaining and learning of ripple
down rules for Information Extraction", Proceedings of the
International Conference on Management of Data (COMAD), 2005
