Interpreting deep learning models for entity resolution-Reference-Cited by-同舟云学术

Interpreting deep learning models for entity resolution

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management - aiDM '19
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Author:

Di Cicco Vincenzo¹,Firmani Donatella¹,Koudas Nick²,Merialdo Paolo¹,Srivastava Divesh³

Affiliation:

1. Università Roma Tre

2. University of Toronto

3. AT&T Labs - Research

Publisher

ACM Press

Reference15 articles.

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4. S. Das, P. S. GC, A. Doan, J. F. Naughton, G. Krishnan, R. Deep, E. Arcaute, V. Raghavendra, and Y. Park. Falcon: Scaling up hands-off crowdsourced entity matching to build cloud services. In SIGMOD, 2017.

5. M. Ebraheem, S. Thirumuruganathan, S. Joty, M. Ouzzani, and N. Tang. Distributed representations of tuples for entity resolution. PVLDB, 11(11), 2018.

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