Delip Rao

According to our database, Delip Rao authored at least 21 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Interpretable Style Embeddings via Prompting LLMs.

Ajay Patel, Delip Rao, Chris Callison-Burch

CoRR, 2023

Faithful Chain-of-Thought Reasoning.

Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Learning Interpretable Style Embeddings via Prompting LLMs.

Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2020

Learning Efficient Representations for Fake Speech Detection.

Nishant Subramani, Delip Rao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Listening to the World Improves Speech Command Recognition.

Brian McMahan, Delip Rao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2013

Entity Linking: Finding Extracted Entities in a Knowledge Base.

Delip Rao, Paul McNamee, Mark Dredze

Proceedings of the Multi-source, Multilingual Information Extraction and Summarization, 2013

2011

Hierarchical Bayesian Models for Latent Attribute Detection in Social Media.

Delip Rao, Michael J. Paul, Clayton Fink, David Yarowsky, Timothy Oates, Glen Coppersmith

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Typed Graph Models for Learning Latent Attributes from Names.

Delip Rao, David Yarowsky

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

Streaming Cross Document Entity Coreference Resolution.

Delip Rao, Paul McNamee, Mark Dredze

Proceedings of the COLING 2010, 2010

Entity Disambiguation for Knowledge Base Population.

Mark Dredze, Paul McNamee, Delip Rao, Adam Gerber, Tim Finin

Proceedings of the COLING 2010, 2010

Classifying latent user attributes in twitter.

Delip Rao, David Yarowsky, Abhishek Shreevats, Manaswi Gupta

Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, 2010

2009

Ranking and Semi-supervised Classification on Large Scale Graphs Using Map-Reduce.

Delip Rao, David Yarowsky

Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, 2009

HLTCOE Approaches to Knowledge Base Population at TAC 2009.

Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine D. Piatko, Delip Rao, David Yarowsky, Markus Dreyer

Proceedings of the Second Text Analysis Conference, 2009

Semi-Supervised Polarity Lexicon Induction.

Delip Rao, Deepak Ravichandran

Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

$$-extension Hidden Markov Models and Weighted Transducers for Machine Transliteration.

Balakrishnan Varadarajan, Delip Rao

Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, 2009

2007

JHU1 : An Unsupervised Approach to Person Name Disambiguation using Web Snippets.

Delip Rao, Nikesh Garera, David Yarowsky

Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

2006

Building Clusters of Related Words: An Unsupervised Approach.

Deepak P, Delip Rao, Deepak Khemani

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Differential Voting in Case Based Spam Filtering.

Deepak P, Delip Rao, Deepak Khemani

Proceedings of the 6th Industrial Conference on Data Mining, Poster Proceedings, 2006

Corpus Based Unsupervised Labeling of Documents.

Delip Rao, Deepak P, Deepak Khemani

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

Improving Case-Based Recommendations Using Implicit Feedback.

Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangani, Delip Rao

Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

2005

VisualRDR: A general framework for creating, maintaining and learning of ripple down rules for Information Extraction.

Delip Rao, Sachindra Joshi, Sreeram Balakrishnan, Ganesh Ramakrishnan

Proceedings of the Advances in Data Management 2005, 2005