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A Comprehensive Benchmark Framework for Active Learning Methods in
  Entity Matching

A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching

29 March 2020
Venkata Vamsikrishna Meduri
Lucian Popa
Prithviraj Sen
Mohamed Sarwat
    FedML
ArXivPDFHTML

Papers citing "A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching"

6 / 6 papers shown
Title
Active Learning for Neural PDE Solvers
Active Learning for Neural PDE Solvers
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
62
4
0
02 Aug 2024
FlexER: Flexible Entity Resolution for Multiple Intents
FlexER: Flexible Entity Resolution for Multiple Intents
Bar Genossar
Roee Shraga
Avigdor Gal Technion - Israel Institute of Technology
30
11
0
23 Aug 2022
HumanAL: Calibrating Human Matching Beyond a Single Task
HumanAL: Calibrating Human Matching Beyond a Single Task
Roee Shraga
HAI
19
6
0
06 May 2022
Deep Indexed Active Learning for Matching Heterogeneous Entity
  Representations
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
Arjit Jain
Sunita Sarawagi
Prithviraj Sen
30
24
0
08 Apr 2021
Active Deep Learning on Entity Resolution by Risk Sampling
Active Deep Learning on Entity Resolution by Risk Sampling
Youcef Nafa
Qun Chen
Zhaoqiang Chen
Xingyu Lu
Haiyang He
Tianyi Duan
Zhanhuai Li
10
16
0
23 Dec 2020
Deep Entity Matching with Pre-Trained Language Models
Deep Entity Matching with Pre-Trained Language Models
Yuliang Li
Jinfeng Li
Yoshihiko Suhara
A. Doan
W. Tan
VLM
31
373
0
01 Apr 2020
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