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  4. Final report of the project Learning Conversational Action Repair for Intelligent Robots (LeCAREbot)
 
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Final report of the project Learning Conversational Action Repair for Intelligent Robots (LeCAREbot)

Citation Link: https://doi.org/10.15480/882.15751
Publikationstyp
Research Report
Date Issued
2025-08
Sprache
English
Author(s)
Eppe, Manfred  
Data Science Foundations E-21  
Wermter, Stefan  
TORE-DOI
10.15480/882.15751
TORE-URI
https://hdl.handle.net/11420/56926
Start Page
1
End Page
13
Citation
DFG form 3.06 – 01/23: 1-13 (2025)
What are the principal mechanisms required to capture the robustness and interactivity of hu-man communication, given the situational, noisy and often ambiguous nature of natural lan-guage? And how, and to what extent, can we integrate these mechanisms within an embodied functional model that is computationally and empirically verifiable? We addressed these re-search questions by investigating the linguistic phenomenon of conversational repair (CR) -- a method to edit and re-interpret previously uttered sentences that were not correctly understood by the hearer....
DDC Class
629.892: Robot
006.3: Artificial Intelligence
Funding(s)
Learning Conversational Action Repair for Intelligent Robots  
Lizenz
https://creativecommons.org/publicdomain/zero/1.0/
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LeCAREbot - Final Report_public.pdf

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