CIIR publications authored by Sameer Singh

IR-1002: (2014) Singh, S., "Scaling MCMC Inference and Belief Propagation to Large, Dense Graphical Models," Ph.D. Thesis, School of Computer Science, University of Massachusetts Amherst, May 2014. [View Abstract] [View bibtex]

IR-971: (2013) Singh, S.,  Yao, L.,  Belanger, D.,  Kobren, A.,  Anzaroot, S.,  Wick, M.,  Passos, A.,  Pandya, H.,  Choi, J.,  Martin, B. and McCallum, A., "Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013," TACKBP 2013 Workshop, November 18-19, 2013. National Institute of Standards and Technology Gaithersburg, Maryland USA. [View Abstract] [View bibtex]

IR-963: (2013) Wick, M.,  Singh, S.,  Pandya, H. and McCallum, A., "A Joint Model for Discovering and Linking Entities," AKBC Workshop (at CIKM) 2013. [View Abstract] [View bibtex]

IR-962: (2013) Wick, M.,  Singh, S.,  Kobren, A. and McCallum, A., "Assessing Confidence of Knowledge Base Content with an Experimental Study in Entity Resolution," Proceedings of CIKM 2013 Workshop on Automated Knowledge Base Construction (AKBC). pp. 13-18. [View Abstract] [View bibtex]

IR-961: (2013) Singh, S.,  Riedel, S.,  Martin, B.,  Zheng, J. and McCallum, A., "Joint Inference of Entities, Relations, and Coreference," CIKM 2013 Workshop on Automated Knowledge Base Construction (AKBC). [View Abstract] [View bibtex]

IR-954: (2013) Zheng, J.,  Vilnis, L.,  Singh, S.,  Choi, J. and McCallum, A., "Dynamic Knowledge-Base Alignment for Coreference Resolution," Proceedings of the Seventeenth Conference on Computational Natural Language Learning (CoNLL 2013), Sofia, Bulgaria, August 8-9, 2013. pp. 153-162. [View Abstract] [View bibtex]

IR-894: (2012) Singh, S.,  Wick, M. and McCallum, A., "Monte Carlo MCMC: Efficient Inference by Sampling Factors," a workshop presented at the NAACL Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX 2012), Montreal, Canada, June 7-8, 2012. [View Abstract] [View bibtex]

IR-888: (2012) Singh, S.,  Wick, M. and McCallum, A., "Monte Carlo MCMC: Efficient Inference by Approximate Sampling," Proceedings of the Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CONLL) 2012, pp. 1104-1113. [View Abstract] [View bibtex]

IR-877: (2011) Singh, S. and McCallum, A., "Towards Asynchronous Distributed MCMC Inference for Large Graphical Models," NIPS Workshop on Big Learning: Algorithms, Systems, and Tools for Learning at Scale, Sierra Nevada, Spain, December 16-17, 2011. [View Abstract] [View bibtex]

IR-876: (2011) Singh, S.,  Martin, B. and McCallum, A., "Inducing Value Sparsity for Parallel Inference in Tree-shaped Models," NIPS Workshop on Computational Trade-offs in Statistical Learning (COST), Sierra Nevada, Spain, December 16, 2011. [View Abstract] [View bibtex]

IR-869: (2012) Wick, M.,  Singh, S. and McCallum, A., "A Discriminative Hierarchical Model for Fast Coreference at Large Scale," Proceedings of the Association for Computational Linguistics (ACL 2012), pp. 379-388. [View Abstract] [View bibtex]

IR-816: (2011) Singh, S.,  Subramanya, A.,  Pereira, F. and McCallum, A., "Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models," ]Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL HLT), pp. 793-803. [View Abstract] [View bibtex]

IR-773: (2010) Singh, S.,  Yao, L.,  Riedel, S. and McCallum, A., "Constraint-Driven Rank-Based Learning for Information Extraction," Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT), pp. 729-732. [View Abstract] [View bibtex]

IR-746: (2009) Wick, M.,  Rohanimanesh, K.,  Singh, S. and McCallum, A., "Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference," Neural Information Processing Systems (NIPS), pp. 2044-2052. [View Abstract] [View bibtex]

IR-744: (2009) McCallum, A.,  Schultz, K. and Singh, S., "FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs," Neural Information Processing Systems Conference (NIPS 09) Vancouver, Canada, December 7-10, 2009. [View Abstract] [View bibtex]

IR-736: (2009) Singh, S.,  Schultz, K. and McCallum, A., "Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs," Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), pp. 414-429. [View Abstract] [View bibtex]

IR-727: (2008) Rohanimanesh, K.,  Wick, M.,  Singh, S. and McCallum, A., "MAP inference in Large Factor Graphs with Reinforcement Learning," University of Massachusetts Technical Report #UM-CS-2008-040 Amherst, MA. 2008. [View Abstract] [View bibtex]

IR-697: (2008) McCallum, A.,  Rohanimanesh, K.,  Wick, M.,  Schultz, K. and Singh, S., "FACTORIE: Efficient Probabilistic Programming via Imperative Declarations of Structure, Inference and Learning," NIPS workshop on Probabilistic Programming, Vancouver, B.C., Canada, 2008. [View Abstract] [View bibtex]