Amarnag Subramanya
Amarnag Subramanya is a senior research scientist in the machine learning & natural language processing group at Google Research. He received his PhD from University of Washington, Seattle in 2009. His interests include, semi-supervised learning, graphical models and their applications to various problems in natural language and speech.
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Google
Collective Entity Resolution with Multi-Focal Attention
Soumen Chakrabarti
Michael Ringaard
ACL (2016)
Plato: A Selective Context Model for Entity Resolution
Michael Ringgaard
Transactions of the Association for Computational Linguistics, 3 (2015), pp. 503-515
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models
Sameer Singh
Andrew McCallum
Association for Computational Linguistics (ACL) (2011)
Distributed MAP Inference for Undirected Graphical Models
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Sameer Singh
Andrew McCallum
Workshop on Learning on Cores, Clusters and Clouds (LCCC), Neural Information Processing Society (NIPS) (2010)
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
Preview
Proceedings of the 2010 Conference on Empirical Methods on Natural Language Processing (EMNLP '10)
Large Scale Graph Transduction
Jeff Bilmes
NIPS 2009 Workshop on Large-Scale Machine Learning: Parallelism and Massive Datasets, NIPS
