Partha Pratim Talukdar
Partha Pratim Talukdar
Indian Institute of Science (IISc), Bangalore and KENOME
Verified email at - Homepage
TitleCited byYear
Never-Ending Learning
T Mitchell, W Cohen, E Hruschka Jr, P Talukdar, J Betteridge, A Carlson, ...
Twenty-Ninth Conference on Artificial Intelligence (AAAI), 2015
New regularized algorithms for transductive learning
PP Talukdar, K Crammer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
Weakly-supervised acquisition of labeled class instances using graph random walks
PP Talukdar, J Reisinger, M Pasca, D Ravichandran, R Bhagat, F Pereira
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
Learning to create data-integrating queries
PP Talukdar, M Jacob, MS Mehmood, K Crammer, ZG Ives, F Pereira, ...
Proceedings of the VLDB Endowment 1 (1), 785-796, 2008
The ORCHESTRA collaborative data sharing system
ZG Ives, TJ Green, G Karvounarakis, NE Taylor, V Tannen, PP Talukdar, ...
ACM Sigmod Record 37 (3), 26-32, 2008
Experiments in graph-based semi-supervised learning methods for class-instance acquisition
PP Talukdar, F Pereira
Proceedings of the 48th annual meeting of the association for computational …, 2010
Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses
L Wehbe, B Murphy, P Talukdar, A Fyshe, A Ramdas, T Mitchell
PloS one 9 (11), e112575, 2014
A context pattern induction method for named entity extraction
PP Talukdar, T Brants, M Liberman, F Pereira
Proceedings of the Tenth Conference on Computational Natural Language …, 2006
Automatic code assignment to medical text
K Crammer, M Dredze, K Ganchev, PP Talukdar, S Carroll
Proceedings of the workshop on bionlp 2007: Biological, translational, and …, 2007
Incorporating vector space similarity in random walk inference over knowledge bases
M Gardner, P Talukdar, J Krishnamurthy, T Mitchell
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding
B Murphy, P Talukdar, T Mitchell
International Conference on Computational Linguistics (COLING), 2012
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop
A Beutel, PP Talukdar, A Kumar, C Faloutsos, EE Papalexakis, EP Xing
Proceedings of the 2014 SIAM International Conference on Data Mining, 109-117, 2014
Coupled Temporal Scoping of Relational Facts
PP Talukdar, D Wijaya, T Mitchell
Web Search and Data Mining (WSDM), 2012
Automatically incorporating new sources in keyword search-based data integration
PP Talukdar, ZG Ives, F Pereira
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
Improving learning and inference in a large knowledge-base using latent syntactic cues
M Gardner, PP Talukdar, B Kisiel, T Mitchell
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
Graph-based semi-supervised learning
A Subramanya, PP Talukdar
Synthesis Lectures on Artificial Intelligence and Machine Learning 8 (4), 1-125, 2014
Selecting Corpus-Semantic Models for Neurolinguistic Decoding
B Murphy, P Talukdar, T Mitchell
Joint Conference on Lexical and Computational Semantics (StarSem), 2012
Frustratingly hard domain adaptation for dependency parsing
M Dredze, J Blitzer, PP Talukdar, K Ganchev, J Graca, F Pereira
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007
Regularized learning with networks of features
T Sandler, J Blitzer, PP Talukdar, LH Ungar
Advances in neural information processing systems, 1401-1408, 2009
Lightly-supervised attribute extraction
K Bellare, PP Talukdar, G Kumaran, F Pereira, M Liberman, A McCallum, ...
NIPS 2007 Workshop on Machine Learning for Web Search 31, 44-68, 2007
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