Delip Rao - Home Page

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Contact

CSE Building, 322
3400 N. Charles St.
Baltimore, MD - 21218
Phone: (410) 516 6837
Fax : (410) 516 5050
Email: del...@jhu.edu

News

Research Interests

I am interested in scalability of learning algorithms and the application of graph theoretic methods to problems in NLP. I've been fortunate to work and publish with some well known people in these fields and have served on the program committees of ACL, EMNLP, IJCAI, AAAI, WWW, and IEEE Pattern Recognition.

Publications

  • 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 [pdf]
  • 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 [pdf]
  • 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 [pdf]
  • Delip Rao and David Yarowsky, "Detecting Latent User Properties in Social Media", in Proceedings of the NIPS workshop on Machine Learning for Social Networks (MLSC), 2010 [pdf]
  • 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 [pdf]
  • Delip Rao, Paul McNamee and Mark Dredze, "Streaming Cross Document Entity Coreference Resolution", in Proceedings of Conference on Computational Linguistics (COLING), 2010 [pdf]
  • 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 [pdf]
  • Delip Rao and David Yarowsky, "Ranking and Semi-supervised Classification on Large Scale Graphs Using Map-Reduce", in Proceedings of Textgraphs 2009 [pdf]
  • 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 [pdf]
  • 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 and Deepak Ravichandran, "Semi-Supervised Polarity Lexicon Induction ", in Proceedings of the European Association of Computational Linguistics (EACL) 2009 [pdf]
  • Delip Rao, David Yarowsky, and Chris Callison-Burch, " Affinity Measures Based on the Graph Laplacian ", in Proceedings of Textgraphs 2008 [pdf]
  • 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 [pdf]
  • 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
  • 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
  • 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