Imperial College London

ProfessorFrancescaToni

Faculty of EngineeringDepartment of Computing

Professor in Computational Logic
 
 
 
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Contact

 

+44 (0)20 7594 8228f.toni Website

 
 
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Location

 

430Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Cocarascu:2019,
author = {Cocarascu, O and Rago, A and Toni, F},
title = {From formal argumentation to conversational systems},
url = {http://hdl.handle.net/10044/1/72094},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Arguing is amenable to humans and argumentation serves as anatural form of interaction in many settings. Several formal mod-els of argumentation have been proposed in the AI literature asabstractions of various forms of debates. We show how these mod-els can serve as the backbone of conversational systems that canexplain machine-computed outputs. These systems can engage inconversations with humans following templates instantiated onargumentation models that are automatically obtained from thedata analysis underpinning the machine-computed outputs. Asan illustration, we consider one such argumentation-empoweredconversational system and exemplify its use and benefits in twodifferent domains, for recommending movies and hotels based onthe aggregation of information drawn from reviews.
AU - Cocarascu,O
AU - Rago,A
AU - Toni,F
PY - 2019///
TI - From formal argumentation to conversational systems
UR - http://hdl.handle.net/10044/1/72094
ER -