Delip Rao. Aug Aug (IIT) Madras MS, Computer Science. CGPA 9.5/10 Thesis: Learning from Heterogenous Knowledge Sources

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1 Contact Information 2 Over Ridge Court Apt 3731 Baltimore, MD Delip Rao (415) Education Johns Hopkins University Sept present PhD. Candidate, Computer Science Advisor: Prof. David Yarowsky MS Eng., (Computer Science) Research: Entity Resolution, Fact Extraction, Sentiment Analysis, Social Media, Multilingual NLP, Scalability of Machine Learning Algorithms Indian Institute of Technology Aug Aug (IIT) Madras MS, Computer Science. CGPA 9.5/10 Thesis: Learning from Heterogenous Knowledge Sources Visveswaraiah Technological Oct.1998 June 2002 University BE, Computer Science & Engineering Aggregate: 81.4 Thesis: Identification and Resolution of Bottlenecks in Session Multiplexing Work Experience Johns Hopkins University, Baltimore, MD Sept present Research Assistant 1. Center for Language and Speech Processing 2. Human Language Technology Center of Excellence Worked on different areas of information extraction, multilingual NLP and Machine Learning. Wrote reams of code and published several research papers (c.f. publications section). Google Inc., Mountain View, CA Summer 2009 Engineering Intern Summer 2007 Worked and published on large-scale (mapreduce-based) approaches to NLP problems in Sentiment Analysis and Multilingual Paraphrase Generation. Applied graph-based methods to perform ranking and semi-supervised classification on graphs with several hundred million nodes.

2 Work Experience IBM Research Laboratories, New Delhi Summer 2005 Research Intern Worked on Relationship Extraction from Text. Implemented and published a system to automatically learn information extraction rules from text. Also received the best summer project award at IRL Delhi for this work. Motorola, Bangalore May 2003 Aug Software Engineer Wrote software for Motorola s High Availability Platform to perform checkpointing, memory allocation, replication, messaging, and other distributed services for the CDMA base-station using Linux and VxWorks. Also championed a quality project improving testing cycle time by 75%. Oracle, Bangalore Jul May 2003 Member Technical Staff Worked on different aspects of Oracle s HTTP cache server called WebCache like fragment caching, memory allocation, cookies, and reliability. Oracle, Bangalore Nov Jun Intern Studied and implemented remedies for bottlenecks in Oracle Database session multiplexing system multiplexing multiple client sessions over a single socket connection. Research Information Extraction Delip Rao, Paul McNamee and Mark Dredze, "Entity Linking: Finding Extracted Entities in a Knowledge Base", a book chapter in Multi-source, Multi-lingual Information Extraction and Summarization, 2011 Delip Rao and David Yarowsky, "Typed Graph Models for Learning Latent Attributes from Names", in Proceedings of the Association of Computational Linguistics (ACL-HLT), 2011 Delip Rao, Michael Paul, Clayton Fink, David Yarowsky, Timothy Oates, Glen Coppersmith, "Hierarchical Bayesian Models for Latent Attribute Detection in Social Networks.", in Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM), 2011 Delip Rao and David Yarowsky, "Detecting Latent User Properties in Social Media", to appear in Proceedings of the NIPS workshop on Machine Learning for Social Networks (MLSC), 2010 Delip Rao, David Yarowsky, Abhishek Shreevats, Manaswi Gupta, "Classifying Latent User Attributes in Twitter", in Proceedings of the 2nd International Workshop on Search and Mining User-generated Contents (SMUC), 2010

3 Research Delip Rao, Paul McNamee and Mark Dredze, "Streaming Cross Document Entity Coreference Resolution", in Proceedings of Conference on Computational Linguistics (COLING), 2010 Mark Dredze, Paul McNamee, Delip Rao, Adam Gerber and Tim Finin, "Entity Disambiguation for Knowledge Base Population", in Proceedings of Conference on Computational Linguistics (COLING), 2010 Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine Piatko, Delip Rao, David Yarowsky, Markus Dreyer. "HLTCOE Approaches to Knowledge Base Population at TAC 2009." Text Analysis Conference (TAC), 2009 Delip Rao, Nikesh Garera, and David Yarowsky, "An Unsupervised Approach to Person Name Disambiguation using Web Snippets ", in Proceedings of International Workshop on Semantic Evaluations (ACL SemEval), 2007 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", in Proceedings of the International Conference on Management of Data (COMAD), 2005 Scalability/Machine Learning "Typed Graph Models for Natural Language Processing Problems", under review, 2011 Delip Rao and David Yarowsky, "Ranking and Semi-supervised Classification on Large Scale Graphs Using Map-Reduce", in Proceedings of Textgraphs 2009 Delip Rao and Deepak Ravichandran, "Semi-Supervised Polarity Lexicon Induction ", in Proceedings of the European Association of Computational Linguistics (EACL) 2009 Delip Rao, David Yarowsky, and Chris Callison-Burch, " Affinity Measures Based on the Graph Laplacian ", in Proceedings of Textgraphs 2008 Multilingual NLP Balakrishnan V and Delip Rao, " $\epsilon$-extension Hidden Markov Models and Weighted Transducers for Machine Transliteration", in Proceedings of ACL 2009 Named Entities Workshop - Shared Task on Transliteration Delip Rao and David Yarowsky, "Part of Speech Tagging and Shallow Parsing for Indian Languages", in Proceedings of the workshop on Shallow Parsing for South Asian Languages, at the International Joint Conference in Artificial Intelligence (IJCAI), 2007

4 Research Text Mining Delip Rao and Deepak Khemani, "Discovering Semantic Similarity from the World Wide Web", in 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", in 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", in Proceedings of the Industrial Conference on Data Mining (ICDM), 2006 Delip Rao, Deepak P, and Deepak Khemani, "Corpus Based Unsupervised Labeling of Documents", in Proceedings of the Florida International Artificial Intelligence Research Society (FLAIRS), 2006 Guest Lectures 1. NLP in the Real World, Johns Hopkins University 2. Semi- supervised Learning, Johns Hopkins University 3. IR in Social Media, Johns Hopkins University 4. Storage, Processing and Retrieval of Large- Scale Data, Johns Hopkins University Software Skills Programming Distributed/Parallel technologies Scripting Statistics Java technologies Operating systems Database Technologies Web/Markup languanges Others Development tools Java, C/C++ Hadoop, MPI, Threads, SGE CGI/Perl, shell scripting MATLAB, R J2SE, Servlets, JSP, EJB, SQLJ Linux, Solaris and VxWorks Oracle, SQL, PL/SQL, perl DBI, JDBC HTML, Javascript, XML, XSLT, ESI, JESI Network programming, Unix system programming SVN, GNU development tools, clearcase, clearquest, Purify, purecov and quantify

5 Corporate Training 1. Software quality management training at Oracle 2. Rational PurifyPlus training (encompassing purify, purecov and quantify) at Oracle 3. Soft skills training (7 habits, time management, presentation skills) at Oracle 4. Six Sigma training at Motorola. Personal Details References Nationality Visa status Interests Prof. David Yarowsky (Advisor) (410) Indian F1 (Multiple entry) Endurance running (several marathons and ultramarathons) Others available on request