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Entity resolution (ER) is a key data integration problem.
Record linkage
H. L. Dunn · 1946
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A theory for record linkage
I. Fellegi and A. Sunter · 1969
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Learning long-term dependencies with gradient descent is difficult
Y. Bengio, P. Simard, and P. Frasconi · 1994
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Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
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Bidirectional recurrent neural networks
M. Schuster and K. K. Paliwal · 1997
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Approximate nearest neighbors: Towards removing the curse of dimensionality
P. Indyk and R. Motwani · 1998
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Similarity search in high dimensions via hashing
A. Gionis, P. Indyk, R. Motwani, et al · 1999
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Learning to match and cluster large high-dimensional data sets for data integration
W. W. Cohen and J. Richman · 2002
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Interactive deduplication using active learning
S. Sarawagi and A. Bhamidipaty · 2002
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A comparison of fast blocking methods for record linkage
R. Baxter, P. Christen, and T. Churches · 2003
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A neural probabilistic language model
Y. Bengio, R. Ducharme, P. Vincent, and C. Janvin · 2003
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Adaptive duplicate detection using learnable string similarity measures
M. Bilenko and R. J. Mooney · 2003
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Learning blocking schemes for record linkage
M. Michelson and C. A. Knoblock · 2006
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Duplicate record detection: A survey
A. K. Elmagarmid, P. G. Ipeirotis, and V. S. Verykios · 2007
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Multi-probe lsh: efficient indexing for high-dimensional similarity search
Q. Lv, W. Josephson, Z. Wang, M. Charikar, and K. Li · 2007
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Training selection for tuning entity matching
H. Köpcke and E. Rahm · 2008
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Lsh banding for large-scale retrieval with memory and recall constraints
M. Covell and S. Baluja · 2009
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Data quality in data warehouses
W. E. Winkler · 2009
Cited alongside, same era.
Evaluation of entity resolution approaches on real-world match problems
H. Köpcke, A. Thor, and E. Rahm · 2010
Cited alongside, same era.
An introduction to duplicate detection
F. Naumann and M. Herschel · 2010
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Torch7: A matlab-like environment for machine learning
R. Collobert, K. Kavukcuoglu, and C. Farabet · 2011
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Natural language processing (almost) from scratch
R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa · 2011
Cited alongside, same era.
Entity matching: How similar is similar
J. Wang, G. Li, J. X. Yu, and J. Feng · 2011
Cited alongside, same era.
How transferable are features in deep neural networks?
J. Yosinski, J. Clune, Y. Bengio, and H. Lipson · 2014
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Continuous distributed representation of biological sequences for deep proteomics and genomics
E. Asgari and M. R. Mofrad · 2015
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A clustering-based framework to control block sizes for entity resolution
J. Fisher, P. Christen, Q. Wang, and E. Rahm · 2015
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Hubness and pollution: Delving into cross-space mapping for zero-shot learning
A. Lazaridou, G. Dinu, and M. Baroni · 2015
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When are tree structures necessary for deep learning of representations?
J. Li, T. Luong, D. Jurafsky, and E. Hovy · 2015
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A survey of indexing techniques for scalable record linkage and deduplication
P. Christen · 2012
Cited alongside, same era.
Crowder: Crowdsourcing entity resolution
J. Wang, T. Kraska, M. J. Franklin, and J. Feng · 2012
Cited alongside, same era.
Representation learning: A review and new perspectives
Y. Bengio, A. Courville, and P. Vincent · 2013
Cited alongside, same era.
Mfiblocks: An effective blocking algorithm for entity resolution
B. Kenig and A. Gal · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Cited alongside, same era.
Retrofitting word vectors to semantic lexicons
M. Faruqui, J. Dodge, S. K. Jauhar, C. Dyer, E. Hovy, and N. A. Smith · 2014
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P. Bojanowski, E. Grave, A. Joulin, and T. Mikolov · 2016
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Benchmarks for measurement of duplicate detection methods in nucleotide databases
Q. Chen, J. Zobel, and K. Verspoor · 2016
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Deep Learning
I. Goodfellow, Y. Bengio, and A. Courville · 2016
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Magellan: Toward building entity matching management systems
P. Konda, S. Das, P. Suganthan GC, A. Doan, A. Ardalan, J. R. Ballard, H. Li, F. Panahi, H. Zhang, J. Naughton, et al · 2016
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Semantic-aware blocking for entity resolution
Q. Wang, M. Cui, and H. Liang · 2016
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Falcon: Scaling up hands-off crowdsourced entity matching to build cloud services
S. Das, P. S. G. C., A. Doan, J. F. Naughton, G. Krishnan, R. Deep, E. Arcaute, V. Raghavendra, and Y. Park · 2017
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Human-in-the-loop challenges for entity matching: A midterm report
A. Doan, A. Ardalan, J. R. Ballard, S. Das, Y. Govind, P. Konda, H. Li, S. Mudgal, E. Paulson, P. S. G. C., and H. Zhang · 2017
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End-to-end em workflows, 2017
Magellan · 2017
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Synthesizing entity matching rules by examples
R. Singh, V. Meduri, A. K. Elmagarmid, S. Madden, P. Papotti, J. Quiané-Ruiz, A. Solar-Lezama, and N. Tang · 2017
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Deep learning with Python
F. Chollet · 2018
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Deep learning for entity matching: A design space exploration
S. Mudgal, H. Li, T. Rekatsinas, A. Doan, Y. Park, G. Krishnan, R. Deep, E. Arcaute, and V. Raghavendra · 2018
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Data curation with deep learning : Towards self driving data curation
S. Thirumuruganathan, N. Tang, and M. Ouzzani · 2018
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