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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)

Paper ID
12459
Venue
VLDB
Year
2021
Pagerank
5.2959029e-05
Overall Rank
5,869 | 59.18%
DOI
10.14778/3476311.3476332

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
8,406 DADER: Hands-Off Entity Resolution with Domain Adaptation 2022 VLDB 4.5220083e-05
9,409 Ground Truth Inference for Weakly Supervised Entity Matching 2023 SIGMOD 4.3441378e-05
11,230 VersaMatch: Ontology Matching with Weak Supervision 2023 VLDB 4.1945683e-05
11,388 Frost: A Platform for Benchmarking and Exploring Data Matching Results 2022 VLDB 4.1945683e-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.

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