"QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian ..."

Timo Pierre Schrader et al. (2024)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-11-14

- view
  - electronic edition @ aclanthology.org (open access)
- export record
  dblp key:
  - conf/emnlp/SchraderLRF24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/SchraderLRF24
Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich:
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios. EMNLP 2024: 2634-2652

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.