QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
From International Center for Computational Logic
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
Timo Pierre SchraderTimo Pierre Schrader, Lukas LangeLukas Lange, Simon RazniewskiSimon Razniewski, Annemarie FriedrichAnnemarie Friedrich
Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP, November 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP, November 2024
- Weitere Informationen unter:Further Information: Link
- Projekt:Project: ScaDS.AI
- Forschungsgruppe:Research Group: Knowledge-aware Artificial IntelligenceKnowledge-aware Artificial Intelligence
@inproceedings{SLRF2024,
author = {Timo Pierre Schrader and Lukas Lange and Simon Razniewski and
Annemarie Friedrich},
title = {QUITE: Quantifying Uncertainty in Natural Language Text in
Bayesian Reasoning Scenarios},
booktitle = {EMNLP},
year = {2024},
month = {November}
}