ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.12228
  4. Cited By
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage
  Natural Language Understanding Systems
v1v2 (latest)

When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
24 May 2022
Elias Stengel-Eskin
Emmanouil Antonios Platanios
Adam Pauls
Sam Thomson
Hao Fang
Benjamin Van Durme
J. Eisner
Yu-Chuan Su
ArXiv (abs)PDFHTML

Papers citing "When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems"

2 / 2 papers shown
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing
Did You Mean...? Confidence-based Trade-offs in Semantic ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Elias Stengel-Eskin
Benjamin Van Durme
202
7
0
29 Mar 2023
Calibrated Interpretation: Confidence Estimation in Semantic Parsing
Calibrated Interpretation: Confidence Estimation in Semantic ParsingTransactions of the Association for Computational Linguistics (TACL), 2022
Elias Stengel-Eskin
Benjamin Van Durme
UQLM
437
36
0
14 Nov 2022
1
Page 1 of 1