Distributed Representations of Tuples for Entity Resolution
Summary: DeepER encodes entire tuples as task-specific distributed representations via uni-/bidirectional LSTM RNNs, reducing labeling and feature engineering. An all-attribute LSH blocker yields compact candidate sets, delivering accurate, efficient ER across benchmark, biomedical, and multilingual data. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Muhammad Ebraheem (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 2. Saravanan Thirumuruganathan (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 3. Shafiq Joty (Nanyang Technological University)
- 4. Mourad Ouzzani (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 5. Nan Tang (Hamad Bin Khalifa University; Qatar Computing Research Institute)
BibTeX Citation
@article{ebraheem_vldb18,
title = {{Distributed Representations of Tuples for Entity Resolution}},
author = {Ebraheem, Muhammad and Thirumuruganathan, Saravanan and Joty, Shafiq and Ouzzani, Mourad and Tang, Nan},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {11},
pages = {1454--1467},
doi = {10.14778/3236187.3236198},
url = {https://doi.org/10.14778/3236187.3236198},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 64 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 21 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00056760516 |
| 176 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00027191081 |
| 196 | CrowdER: Crowdsourcing Entity Resolution | 2012 | VLDB | 0.00025780596 |
| 248 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00023278354 |
| 287 | Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search | 2007 | VLDB | 0.00022323585 |
| 439 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD | 0.00018464913 |
| 529 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00017096361 |
| 1,248 | Entity Matching: How Similar Is Similar | 2011 | VLDB | 0.00011498301 |
| 1,465 | Synthesizing Entity Matching Rules by Examples | 2018 | VLDB | 0.00010689571 |
| 1,643 | Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services | 2017 | SIGMOD | 0.00010134956 |
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