Shivakumar Vaithyanathan

According to our database, Shivakumar Vaithyanathan authored at least 46 papers between 1992 and 2024.

Collaborative distances:

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

2024

Evaluation and Continual Improvement for an Enterprise AI Assistant.

Akash V. Maharaj, Kun Qian, Uttaran Bhattacharya, Sally Fang, Horia Galatanu, Manas Garg, Rachel Hanessian, Nishant Kapoor, Ken Russell, Shivakumar Vaithyanathan, Yunyao Li

CoRR, 2024

2018

Web Information Extraction.

Laura Chiticariu, Marina Danilevsky, Howard Ho, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

2017

Creation and Interaction with Large-scale Domain-Specific Knowledge Bases.

Shreyas Bharadwaj, Laura Chiticariu, Marina Danilevsky, Samarth Dhingra, Samved Divekar, Arnaldo Carreno-Fuentes, Himanshu Gupta, Nitin Gupta, Sang-Don Han, Mauricio A. Hernández, Howard Ho, Parag Jain, Salil Joshi, Hima Karanam, Saravanan Krishnan, Rajasekar Krishnamurthy, Yunyao Li, Satishkumaar Manivannan, Ashish R. Mittal, Fatma Ozcan, Abdul Quamar, Poornima Raman, Diptikalyan Saha, Karthik Sankaranarayanan, Jaydeep Sen, Prithviraj Sen, Shivakumar Vaithyanathan, Mitesh Vasa, Hao Wang, Huaiyu Zhu

Proc. VLDB Endow., 2017

2016

Building Industry-specific Knowledge Bases.

Shivakumar Vaithyanathan

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling.

Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.

Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan

Proc. VLDB Endow., 2014

2012

The value of social media data in enterprise applications.

Shivakumar Vaithyanathan

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

2011

Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study.

Douglas Burdick, Mauricio A. Hernández, Howard Ho, Georgia Koutrika, Rajasekar Krishnamurthy, Lucian Popa, Ioana Stanoi, Shivakumar Vaithyanathan, Sanjiv R. Das

IEEE Data Eng. Bull., 2011

The SystemT IDE: an integrated development environment for information extraction rules.

Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thilo W. Goetz, Howard Ho, Rajasekar Krishnamurthy, Alexander Lang, Yunyao Li, Bin Liu, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Rewrite rules for search database systems.

Ronald Fagin, Benny Kimelfeld, Yunyao Li, Sriram Raghavan, Shivakumar Vaithyanathan

Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2011

Selectivity estimation for extraction operators over text data.

Daisy Zhe Wang, Long Wei, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan

Proceedings of the 27th International Conference on Data Engineering, 2011

SystemML: Declarative machine learning on MapReduce.

Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan

Proceedings of the 27th International Conference on Data Engineering, 2011

The Power of Declarative Languages: From Information Extraction to Machine Learning.

Shivakumar Vaithyanathan

Proceedings of the Datenbanksysteme für Business, 2011

2010

Midas: integrating public financial data.

Sreeram Balakrishnan, Vivian Chu, Mauricio A. Hernández, Howard Ho, Rajasekar Krishnamurthy, Shixia Liu, Jan Pieper, Jeffrey S. Pierce, Lucian Popa, Christine Robson, Lei Shi, Ioana Roxana Stanoi, Edison L. Ting, Shivakumar Vaithyanathan, Huahai Yang

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Understanding queries in a search database system.

Ronald Fagin, Benny Kimelfeld, Yunyao Li, Sriram Raghavan, Shivakumar Vaithyanathan

Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2010

Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks.

Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

SystemT: An Algebraic Approach to Declarative Information Extraction.

Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan

Proceedings of the ACL 2010, 2010

2009

Web Information Extraction.

Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu

Proceedings of the Encyclopedia of Database Systems, 2009

Towards a Scalable Enterprise Content Analytics Platform.

Kevin S. Beyer, Vuk Ercegovac, Rajasekar Krishnamurthy, Sriram Raghavan, Jun Rao, Frederick Reiss, Eugene J. Shekita, David E. Simmen, Sandeep Tata, Shivakumar Vaithyanathan, Huaiyu Zhu

IEEE Data Eng. Bull., 2009

Uncertainty management in rule-based information extraction systems.

Eirinaios Michelakis, Rajasekar Krishnamurthy, Peter J. Haas, Shivakumar Vaithyanathan

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

2008

SystemT: a system for declarative information extraction.

Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu

SIGMOD Rec., 2008

An Algebraic Approach to Rule-Based Information Extraction.

Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, Huaiyu Zhu, Shivakumar Vaithyanathan

Proceedings of the 24th International Conference on Data Engineering, 2008

Regular Expression Learning for Information Extraction.

Yunyao Li, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, H. V. Jagadish

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

OLAP over uncertain and imprecise data.

Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan

VLDB J., 2007

Navigating the intranet with high precision.

Huaiyu Zhu, Sriram Raghavan, Shivakumar Vaithyanathan, Alexander Löser

Proceedings of the 16th International Conference on World Wide Web, 2007

OLAP over Imprecise Data with Domain Constraints.

Douglas Burdick, AnHai Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

2006

Avatar Information Extraction System.

T. S. Jayram, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, Huaiyu Zhu

IEEE Data Eng. Bull., 2006

Efficient Allocation Algorithms for OLAP Over Imprecise Data.

Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Avatar semantic search: a database approach to information retrieval.

Eser Kandogan, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, Huaiyu Zhu

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Managing information extraction: state of the art and research directions.

AnHai Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Getting work done on the web: supporting transactional queries.

Yunyao Li, Rajasekar Krishnamurthy, Shivakumar Vaithyanathan, H. V. Jagadish

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

2005

Clustering with Model-level Constraints.

David Gondek, Shivakumar Vaithyanathan, Ashutosh Garg

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004

Generalized Opinion Pooling.

Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

Asynchronous HMM with applications to speech recognition.

Ashutosh Garg, Sreeram Balakrishnan, Shivakumar Vaithyanathan

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

The Sentimental Factor: Improving Review Classification Via Human-Provided Information.

Philip Beineke, Trevor Hastie, Shivakumar Vaithyanathan

Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003

Topic Learning from Few Examples.

Huaiyu Zhu, Shivakumar Vaithyanathan, Mahesh V. Joshi

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

2002

Thumbs up? Sentiment Classification using Machine Learning Techniques.

Bo Pang, Lillian Lee, Shivakumar Vaithyanathan

Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, 2002

2001

A Comparison of Classifiers for Real-Time Eye Detection.

Alex Cozzi, Myron Flickner, Jianchang Mao, Shivakumar Vaithyanathan

Proceedings of the Artificial Neural Networks, 2001

2000

Model-Based Hierarchical Clustering.

Shivakumar Vaithyanathan, Byron Dom

Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Hierarchical Bayes for Text Classification.

Shivakumar Vaithyanathan, Jianchang Mao, Byron Dom

Proceedings of the International Workshop on Text and Web Mining, 2000

Hierarchical Unsupervised Learning.

Shivakumar Vaithyanathan, Byron Dom

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Introduction: Data Mining on the Internet.

Shivakumar Vaithyanathan

Artif. Intell. Rev., 1999

Generalized Model Selection for Unsupervised Learning in High Dimensions.

Shivakumar Vaithyanathan, Byron Dom

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Model Selection in Unsupervised Learning with Applications To Document Clustering.

Shivakumar Vaithyanathan, Byron Dom

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1997

Exploiting Clustering and Phrases for Context-based Information Retrieval.

Peter G. Anick, Shivakumar Vaithyanathan

Proceedings of the SIGIR '97: Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1997

1992

A stochastic neural network for resource constrained scheduling.

Shivakumar Vaithyanathan, James P. Ignizio

Comput. Oper. Res., 1992