ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.04174
  4. Cited By
Interpretable and Low-Resource Entity Matching via Decoupling Feature
  Learning from Decision Making

Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making

8 June 2021
Zijun Yao
Chengjiang Li
Tiansi Dong
Xin Lv
Jifan Yu
Lei Hou
Juan-Zi Li
Yichi Zhang
Zelin Dai
ArXivPDFHTML

Papers citing "Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making"

3 / 3 papers shown
Title
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
37
37
0
24 Apr 2023
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
Daniel Obraczka
Jonathan Schuchart
Erhard Rahm
36
19
0
15 Jan 2021
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Zhaoqiang Chen
Qun Chen
Boyi Hou
Tianyi Duan
Zhanhuai Li
Guoliang Li
19
21
0
06 Dec 2019
1