QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios

Aus International Center for Computational Logic
Version vom 18. Oktober 2024, 06:51 Uhr von Simon Razniewski (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorVorname=Timo Pierre |ErsterAutorNachname=Schrader |FurtherAuthors=Lukas Lange; Simon Razniewski; Annemarie Friedrich }} {{Inproceedings |Referiert=1 |Title=QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios |To appear=0 |Year=2024 |Month=November |Booktitle=EMNLP }} {{Publikation Details |Download=Quite.pdf |Link=https://www.arxiv.org/abs/2410.10449 |Projekt=ScaDS.AI |Forschungsgr…“)
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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
@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}
}