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. 2405.07609
  4. Cited By
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity
  Recognition

NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition

13 May 2024
Elena Merdjanovska
Ansar Aynetdinov
Alan Akbik
    NoLa
ArXivPDFHTML

Papers citing "NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition"

2 / 2 papers shown
Title
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
David Tschirschwitz
Volker Rodehorst
21
1
0
14 Sep 2024
Fabricator: An Open Source Toolkit for Generating Labeled Training Data
  with Teacher LLMs
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Jonas Golde
Patrick Haller
Felix Hamborg
Julian Risch
A. Akbik
38
8
0
18 Sep 2023
1