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Michael Wick
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First-order probabilistic models for coreference resolution
A Culotta, M Wick, A McCallum
Human Language Technologies 2007: The Conference of the North American ¡¦, 2007
2302007
Unlocking fairness: a trade-off revisited
M Wick, JB Tristan
Advances in neural information processing systems 32, 2019
1332019
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
1222007
Scalable probabilistic databases with factor graphs and MCMC
M Wick, A McCallum, G Miklau
arXiv preprint arXiv:1005.1934, 2010
922010
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
892012
Character-based attribute value extraction system
PH Kanani, ML Wick, AC Pocock
US Patent 11,010,768, 2021
832021
SampleRank: Training Factor Graphs with Atomic Gradients.
ML Wick, K Rohanimanesh, K Bellare, A Culotta, A McCallum
ICML 5, 1, 2011
652011
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
652008
Samplerank: Learning preferences from atomic gradients
M Wick, K Rohanimanesh, A Culotta, A McCallum
Advances in Ranking, 69, 2009
592009
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
542009
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
532007
Multilingual embeddings for natural language processing
ML Wick, PH Kanani, AC Pocock
US Patent 9,779,085, 2017
462017
Upstream mitigation is not all you need: Testing the bias transfer hypothesis in pre-trained language models
R Steed, S Panda, A Kobren, M Wick
Proceedings of the 60th Annual Meeting of the Association for Computational ¡¦, 2022
452022
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
452011
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
442006
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
40*2019
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
372016
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
372013
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
342007
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
322012
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