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dc.contributor.author
Grover, Sachin
dc.contributor.author
Pulice, Chiara
dc.contributor.author
Simari, Gerardo
dc.contributor.author
Subrahmanian, Venkatramanan
dc.date.available
2020-12-09T20:43:22Z
dc.date.issued
2019-04-18
dc.identifier.citation
Grover, Sachin; Pulice, Chiara; Simari, Gerardo; Subrahmanian, Venkatramanan; BEEF: Balanced English Explanations of Forecasts; Institute of Electrical and Electronics Engineers; IEEE Transactions on Computational Social Systems; 6; 2; 18-4-2019; 350-364
dc.identifier.uri
http://hdl.handle.net/11336/120054
dc.description.abstract
The problem of understanding the reasons behind why different machine learning classifiers make specific predictions is a difficult one, mainly because the inner workings of the algorithms underlying such tools are not amenable to the direct extraction of succinct explanations. In this paper, we address the problem of automatically extracting balanced explanations from predictions generated by any classifier, which include not only why the prediction might be correct but also why it could be wrong. Our framework, called Balanced English Explanations of Forecasts, can generate such explanations in natural language. After showing that the problem of generating explanations is NP-complete, we focus on the development of a heuristic algorithm, empirically showing that it produces high-quality results both in terms of objective measures - with statistically significant effects shown for several parameter variations - and subjective evaluations based on a survey completed by 100 anonymous participants recruited via Amazon Mechanical Turk.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
DECISION SUPPORT SYSTEMS
dc.subject
KNOWLEDGE ENGINEERING
dc.subject
MACHINE LEARNING
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
BEEF: Balanced English Explanations of Forecasts
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-02-26T19:33:39Z
dc.identifier.eissn
2329-924X
dc.journal.volume
6
dc.journal.number
2
dc.journal.pagination
350-364
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Nueva Jersey
dc.description.fil
Fil: Grover, Sachin. University of Carnegie Mellon; Estados Unidos
dc.description.fil
Fil: Pulice, Chiara. Dartmouth College; Estados Unidos
dc.description.fil
Fil: Simari, Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina
dc.description.fil
Fil: Subrahmanian, Venkatramanan. Dartmouth College; Estados Unidos
dc.journal.title
IEEE Transactions on Computational Social Systems
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/8668423
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TCSS.2019.2902490
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