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ZeroER: Entity Resolution using Zero Labeled Examples

ZeroER: Entity Resolution using Zero Labeled Examples

16 August 2019
Renzhi Wu
Sanya Chaba
Saurabh Sawlani
Xu Chu
Saravanan Thirumuruganathan
ArXivPDFHTML

Papers citing "ZeroER: Entity Resolution using Zero Labeled Examples"

21 / 21 papers shown
Title
A Benchmark on Directed Graph Representation Learning in Hardware
  Designs
A Benchmark on Directed Graph Representation Learning in Hardware Designs
Haoyu Wang
Yinan Huang
Nan Wu
Pan Li
OOD
38
1
0
09 Oct 2024
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language
  Model
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model
Zeyu Zhang
Paul Groth
Iacer Calixto
Sebastian Schelter
33
1
0
06 Sep 2024
Data Collection and Labeling Techniques for Machine Learning
Data Collection and Labeling Techniques for Machine Learning
Qianyu Huang
Tongfang Zhao
29
2
0
19 Jun 2024
Leveraging Large Language Models for Entity Matching
Leveraging Large Language Models for Entity Matching
Qianyu Huang
Tongfang Zhao
18
1
0
31 May 2024
Match, Compare, or Select? An Investigation of Large Language Models for
  Entity Matching
Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching
Tianshu Wang
Xiaoyang Chen
Hongyu Lin
Xuanang Chen
Xianpei Han
Hao Wang
Zhenyu Zeng
Le Sun
34
7
0
27 May 2024
APrompt4EM: Augmented Prompt Tuning for Generalized Entity Matching
APrompt4EM: Augmented Prompt Tuning for Generalized Entity Matching
Yikuan Xia
Jiazun Chen
Xinchi Li
Jun Gao
VLM
30
1
0
08 May 2024
The Battleship Approach to the Low Resource Entity Matching Problem
The Battleship Approach to the Low Resource Entity Matching Problem
Bar Genossar
Avigdor Gal
Roee Shraga
18
3
0
27 Nov 2023
Data Cleaning and Machine Learning: A Systematic Literature Review
Data Cleaning and Machine Learning: A Systematic Literature Review
Pierre-Olivier Coté
Amin Nikanjam
Nafisa Ahmed
D. Humeniuk
Foutse Khomh
30
21
0
03 Oct 2023
MultiEM: Efficient and Effective Unsupervised Multi-Table Entity
  Matching
MultiEM: Efficient and Effective Unsupervised Multi-Table Entity Matching
Xiaocan Zeng
Pengfei Wang
Yuren Mao
Lu Chen
Xiaoze Liu
Yunjun Gao
22
3
0
02 Aug 2023
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based
  Matching Algorithms
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms
G. Papadakis
Nishadi Kirielle
Peter Christen
Themis Palpanas
29
7
0
03 Jul 2023
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis
  [Experiment, Analysis & Benchmark]
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]
Alexandros Zeakis
G. Papadakis
Dimitrios Skoutas
Manolis Koubarakis
19
37
0
24 Apr 2023
REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in
  ML Pipelines
REIN: A Comprehensive Benchmark Framework for Data Cleaning Methods in ML Pipelines
Mohamed Abdelaal
Christian Hammacher
Harald Schoening
15
18
0
09 Feb 2023
Ground Truth Inference for Weakly Supervised Entity Matching
Ground Truth Inference for Weakly Supervised Entity Matching
Renzhi Wu
Alexander Bendeck
Xu Chu
Yeye He
16
8
0
13 Nov 2022
Learning Hyper Label Model for Programmatic Weak Supervision
Learning Hyper Label Model for Programmatic Weak Supervision
Renzhi Wu
Sheng Chen
Jieyu Zhang
Xu Chu
12
16
0
27 Jul 2022
HumanAL: Calibrating Human Matching Beyond a Single Task
HumanAL: Calibrating Human Matching Beyond a Single Task
Roee Shraga
HAI
13
5
0
06 May 2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
Cédric Renggli
Xiaozhe Yao
Luka Kolar
Luka Rimanic
Ana Klimovic
Ce Zhang
OOD
22
4
0
04 Apr 2022
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale
Yang Li
Yu Shen
Huaijun Jiang
Wentao Zhang
Jixiang Li
Ji Liu
Ce Zhang
Bin Cui
17
25
0
18 Jan 2022
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space
  Decomposition
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
...
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Bin Cui
LRM
8
44
0
19 Jul 2021
RPT: Relational Pre-trained Transformer Is Almost All You Need towards
  Democratizing Data Preparation
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Nan Tang
Ju Fan
Fangyi Li
Jianhong Tu
Xiaoyong Du
Guoliang Li
Samuel Madden
M. Ouzzani
12
73
0
04 Dec 2020
Cost-effective Variational Active Entity Resolution
Cost-effective Variational Active Entity Resolution
Alex Bogatu
N. Paton
Mark Douthwaite
Stuart Davie
André Freitas
8
9
0
20 Nov 2020
(Almost) All of Entity Resolution
(Almost) All of Entity Resolution
Olivier Binette
R. Steorts
AI4TS
17
59
0
10 Aug 2020
1