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.
Google Publications
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Collective Entity Resolution with Multi-Focal
Attention
Amir Globerson, Nevena Lazic, Soumen Chakrabarti,
Amarnag Subramanya, Michael Ringaard, Fernando Pereira
ACL (2016)
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Multilingual Language Processing From Bytes
Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya
NAACL (2016)
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Plato: A Selective Context Model for Entity
Resolution
Nevena Lazic, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
Transactions of the Association for Computational Linguistics, vol. 3 (2015), pp.
503-515
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Large-Scale Cross-Document Coreference Using
Distributed Inference and Hierarchical Models
Sameer Singh, Amarnag Subramanya, Fernando Pereira, Andrew McCallum
Association for Computational Linguistics (ACL) (2011)
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Distributed MAP Inference for Undirected Graphical Models
Sameer Singh, Amarnag Subramanya, Fernando Pereira, Andrew McCallum
Workshop on Learning on Cores, Clusters and Clouds (LCCC), Neural Information
Processing Society (NIPS) (2010)
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Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
Amarnag Subramanya, Slav Petrov, Fernando Pereira
Proceedings of the 2010 Conference on Empirical Methods on Natural Language
Processing (EMNLP '10)
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Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
Amarnag Subramanya, Jeff Bilmes
NIPS 2009
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Large Scale Graph Transduction
Amarnag Subramanya, Jeff Bilmes
NIPS 2009 Workshop on Large-Scale Machine Learning: Parallelism and Massive
Datasets, NIPS
Previous Publications
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Semi-Supervised Learning with Measure Propagation
Amarnag Subramanya, Jeff Bilmes
Journal of Machine Learning Research (JMLR), vol. 12 (2011), pp. 3311-3370
