Shivakumar Vaithyanathan

50 papers A* 18A 3C 1Misc 1Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
Evaluation and Continual Improvement for an Enterprise AI Assistant.
CoRR
Akash Maharaj, Kun Qian, Uttaran Bhattacharya, Sally Fang, Horia Galatanu, Manas Garg, Rachel Hanessian, Nishant Kapoor, Ken Russell, Shivakumar Vaithyanathan, Yunyao Li
2018 — ch.
Web Information Extraction.
Encyclopedia of Database Systems (2nd ed.)
Laura Chiticariu, Marina Danilevsky, Howard Ho, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu
2017 J jnl
Creation and Interaction with Large-scale Domain-Specific Knowledge Bases.
Proc. VLDB Endow.
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
2016 A conf
Building Industry-specific Knowledge Bases.
CIKM
Shivakumar Vaithyanathan
2015 — conf
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling.
ACL (1)
Alan Akbik, Laura Chiticariu, Marina Danilevsky, Yunyao Li, Shivakumar Vaithyanathan, Huaiyu Zhu
2014 J jnl
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML.
Proc. VLDB Endow.
Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
2014 — ed.
Proceedings of the International Workshop on Data Science for Macro-Modeling, DSMM'14, Snowbird, UT, USA, June 22-27, 2014
DSMM
Rajasekar Krishnamurthy, Louiqa Raschid, Shivakumar Vaithyanathan
2013 J jnl
Model-Based Hierarchical Clustering
CoRR
Shivakumar Vaithyanathan, Byron Dom
2012 — conf
The value of social media data in enterprise applications.
SIGMOD Conference
Shivakumar Vaithyanathan
2011 J jnl
Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study.
IEEE Data Eng. Bull.
Douglas Burdick, Mauricio A. Hernández, Howard Ho, Georgia Koutrika, Rajasekar Krishnamurthy, Lucian Popa, Ioana Stanoi, Shivakumar Vaithyanathan, Sanjiv R. Das
2011 A* conf
Rewrite rules for search database systems.
PODS
Ronald Fagin, Benny Kimelfeld, Yunyao Li, Sriram Raghavan, Shivakumar Vaithyanathan
2011 A* conf
Selectivity estimation for extraction operators over text data.
ICDE
Daisy Zhe Wang, Long Wei, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan
2011 A* conf
SystemML: Declarative machine learning on MapReduce.
ICDE
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D. Pednault, Berthold Reinwald, Vikas Sindhwani, Shirish Tatikonda, Yuanyuan Tian, Shivakumar Vaithyanathan
2011 Misc conf
The Power of Declarative Languages: From Information Extraction to Machine Learning.
BTW
Shivakumar Vaithyanathan
2011 — conf
The SystemT IDE: an integrated development environment for information extraction rules.
SIGMOD Conference
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
2010 A* conf
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks.
EMNLP
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan
2010 — conf
Midas: integrating public financial data.
SIGMOD Conference
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
2010 A* conf
SystemT: An Algebraic Approach to Declarative Information Extraction.
ACL
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan
2010 A* conf
Understanding queries in a search database system.
PODS
Ronald Fagin, Benny Kimelfeld, Yunyao Li, Sriram Raghavan, Shivakumar Vaithyanathan
2009 J jnl
Towards a Scalable Enterprise Content Analytics Platform.
IEEE Data Eng. Bull.
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
2009 — conf
Uncertainty management in rule-based information extraction systems.
SIGMOD Conference
Eirinaios Michelakis, Rajasekar Krishnamurthy, Peter J. Haas, Shivakumar Vaithyanathan
2009 — ch.
Web Information Extraction.
Encyclopedia of Database Systems
Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu
2008 A* conf
An Algebraic Approach to Rule-Based Information Extraction.
ICDE
Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, Huaiyu Zhu, Shivakumar Vaithyanathan
2008 A* conf
Regular Expression Learning for Information Extraction.
EMNLP
Yunyao Li, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, H. V. Jagadish
2008 J jnl
SystemT: a system for declarative information extraction.
SIGMOD Rec.
Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu
2007 A* conf
Navigating the intranet with high precision.
WWW
Huaiyu Zhu, Sriram Raghavan, Shivakumar Vaithyanathan, Alexander Löser
2007 A* conf
OLAP over Imprecise Data with Domain Constraints.
VLDB
Douglas Burdick, AnHai Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan
2007 J jnl
OLAP over uncertain and imprecise data.
VLDB J.
Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan
2006 J jnl
Avatar Information Extraction System.
IEEE Data Eng. Bull.
T. S. Jayram, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, Huaiyu Zhu
2006 — conf
Avatar semantic search: a database approach to information retrieval.
SIGMOD Conference
Eser Kandogan, Rajasekar Krishnamurthy, Sriram Raghavan, Shivakumar Vaithyanathan, Huaiyu Zhu
2006 A* conf
Efficient Allocation Algorithms for OLAP Over Imprecise Data.
VLDB
Douglas Burdick, Prasad M. Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan
2006 A* conf
Getting work done on the web: supporting transactional queries.
SIGIR
Yunyao Li, Rajasekar Krishnamurthy, Shivakumar Vaithyanathan, H. V. Jagadish
2006 — conf
Managing information extraction: state of the art and research directions.
SIGMOD Conference
AnHai Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan
2005 A conf
Clustering with Model-level Constraints.
SDM
David Gondek, Shivakumar Vaithyanathan, Ashutosh Garg
2005 A* conf
OLAP Over Uncertain and Imprecise Data.
VLDB
Douglas Burdick, Prasad Deshpande, T. S. Jayram, Raghu Ramakrishnan, Shivakumar Vaithyanathan
2004 — conf
Asynchronous HMM with applications to speech recognition.
ICASSP (1)
Ashutosh Garg, Sreeram Balakrishnan, Shivakumar Vaithyanathan
2004 — conf
Generalized Opinion Pooling.
AI&M
Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu
2004 A* conf
The Sentimental Factor: Improving Review Classification Via Human-Provided Information.
ACL
Philip Beineke, Trevor Hastie, Shivakumar Vaithyanathan
2003 — conf
Topic Learning from Few Examples.
PKDD
Huaiyu Zhu, Shivakumar Vaithyanathan, Mahesh V. Joshi
2002 J jnl
Thumbs up? Sentiment Classification using Machine Learning Techniques
CoRR
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
2002 A* conf
Thumbs up? Sentiment Classification using Machine Learning Techniques.
EMNLP
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
2001 C conf
A Comparison of Classifiers for Real-Time Eye Detection.
ICANN
Alex Cozzi, Myron Flickner, Jianchang Mao, Shivakumar Vaithyanathan
2000 — conf
Hierarchical Bayes for Text Classification.
PRICAI Workshop on Text and Web Mining
Shivakumar Vaithyanathan, Jianchang Mao, Byron Dom
2000 A* conf
Hierarchical Unsupervised Learning.
ICML
Shivakumar Vaithyanathan, Byron Dom
2000 A conf
Model-Based Hierarchical Clustering.
UAI
Shivakumar Vaithyanathan, Byron Dom
1999 — conf
Generalized Model Selection for Unsupervised Learning in High Dimensions.
NIPS
Shivakumar Vaithyanathan, Byron Dom
1999 J jnl
Introduction: Data Mining on the Internet.
Artif. Intell. Rev.
Shivakumar Vaithyanathan
1999 A* conf
Model Selection in Unsupervised Learning with Applications To Document Clustering.
ICML
Shivakumar Vaithyanathan, Byron Dom
1997 A* conf
Exploiting Clustering and Phrases for Context-based Information Retrieval.
SIGIR
Peter G. Anick, Shivakumar Vaithyanathan
1992 J jnl
A stochastic neural network for resource constrained scheduling.
Comput. Oper. Res.
Shivakumar Vaithyanathan, James P. Ignizio