Demonstration of Panda: A Weakly Supervised Entity Matching System
Summary: Demonstration of Panda, a weakly supervised entity matching system using Snorkel-style labeling functions to cheaply label EM pairs. It provides a browser-based IDE for EM with auto LF generation, visual debugging, smart sampling, and a dedicated EM labeling model to speed development. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Renzhi Wu
- 2. Prem Sakala
- 3. Peng Li
- 4. Xu Chu
- 5. Yeye He
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,401 | DADER: Hands-Off Entity Resolution with Domain Adaptation | 2022 | VLDB | 4.5176737e-05 |
| 9,415 | Ground Truth Inference for Weakly Supervised Entity Matching | 2023 | SIGMOD | 4.3399748e-05 |
| 11,232 | VersaMatch: Ontology Matching with Weak Supervision | 2023 | VLDB | 4.1905499e-05 |
| 11,390 | Frost: A Platform for Benchmarking and Exploring Data Matching Results | 2022 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 155 | Robust and Efficient Fuzzy Match for Online Data Cleaning | 2003 | SIGMOD | 0.00040666376 |
| 252 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00030532082 |
| 293 | Deep Learning for Entity Matching: A Design Space Exploration | 2018 | SIGMOD | 0.00028661817 |
| 318 | Evaluation of entity resolution approaches on real-world match problems | 2010 | VLDB | 0.00027850417 |
| 705 | Magellan: Toward Building Entity Matching Management Systems | 2016 | VLDB | 0.00017779048 |
| 740 | Distributed Representations of Tuples for Entity Resolution | 2018 | VLDB | 0.00017358024 |
| 3,057 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD | 7.6458287e-05 |
| 4,596 | Data Integration and Machine Learning: A Natural Synergy | 2018 | SIGMOD | 6.0540725e-05 |
| 5,388 | Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples | 2021 | SIGMOD | 5.5342724e-05 |
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