CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA
Summary: CERTEM uses CERTA to explain and debug DL-based ER, delivering per-attribute saliency and counterfactuals. Demo shows CERTEM's utility on public ER benchmarks to interpret, trust, and debug state-of-the-art DL ER systems. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Tommaso Teofili
- 2. Donatella Firmani
- 3. Nick Koudas
- 4. Paolo Merialdo
- 5. Divesh Srivastava
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 221 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00033121824 |
| 300 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00028441466 |
| 754 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB | 0.00017117211 |
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