Michael Wick
Cited by
Cited by
First-order probabilistic models for coreference resolution
A Culotta, M Wick, A McCallum
Human Language Technologies 2007: The Conference of the North American …, 2007
Author disambiguation using error-driven machine learning with a ranking loss function
A Culotta, P Kanani, R Hall, M Wick, A McCallum
Sixth International Workshop on Information Integration on the Web (IIWeb-07 …, 2007
Scalable probabilistic databases with factor graphs and MCMC
M Wick, A McCallum, G Miklau
arXiv preprint arXiv:1005.1934, 2010
A discriminative hierarchical model for fast coreference at large scale
M Wick, S Singh, A McCallum
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
Unlocking fairness: a trade-off revisited
M Wick, JB Tristan
Advances in neural information processing systems 32, 2019
Samplerank: Training factor graphs with atomic gradients
ML Wick, K Rohanimanesh, K Bellare, A Culotta, A McCallum
ICML, 2011
A unified approach for schema matching, coreference and canonicalization
ML Wick, K Rohanimanesh, K Schultz, A McCallum
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Samplerank: Learning preferences from atomic gradients
M Wick, K Rohanimanesh, A Culotta, A McCallum
Neural Information Processing Systems (NIPS), Workshop on Advances in Ranking, 2009
An entity based model for coreference resolution
M Wick, A Culotta, K Rohanimanesh, A McCallum
Proceedings of the 2009 SIAM International Conference on Data Mining, 365-376, 2009
Context-sensitive error correction: Using topic models to improve OCR
M Wick, M Ross, E Learned-Miller
Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007
Hybrid in-database inference for declarative information extraction
DZ Wang, MJ Franklin, M Garofalakis, JM Hellerstein, ML Wick
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
Learning field compatibilities to extract database records from unstructured text
M Wick, A Culotta, A McCallum
Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006
Minimally-constrained multilingual embeddings via artificial code-switching
M Wick, P Kanani, A Pocock
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
Gradient-based inference for networks with output constraints
JY Lee, SV Mehta, M Wick, JB Tristan, J Carbonell
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4147-4154, 2019
A joint model for discovering and linking entities
M Wick, S Singh, H Pandya, A McCallum
Proceedings of the 2013 workshop on Automated knowledge base construction, 67-72, 2013
Canonicalization of database records using adaptive similarity measures
A Culotta, M Wick, R Hall, M Marzilli, A McCallum
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
Multilingual embeddings for natural language processing
ML Wick, PH Kanani, AC Pocock
US Patent 9,779,085, 2017
Monte Carlo MCMC: efficient inference by approximate sampling
S Singh, M Wick, A McCallum
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
Factorie: Efficient probabilistic programming via imperative declarations of structure, inference and learning
A McCallum, K Rohanimanesh, M Wick, K Schultz, S Singh
NIPS workshop on Probabilistic Programming, 2008
Exponential stochastic cellular automata for massively parallel inference
M Zaheer, M Wick, JB Tristan, A Smola, G Steele
Artificial Intelligence and Statistics, 966-975, 2016
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