Score breakdown

Energy and Policy Considerations for Deep Learning in NLP

paper-0116 · paper · 2019

Emma Strubell, Ananya Ganesh, Andrew McCallum

Put training cost and carbon on the research agenda.

Academic, score -0.1991

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent422.00.0018950.50.000948OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent8.00.50.050.025OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.0004

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent422.00.0018950.20.000379OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent8.00.50.40.2OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.2745

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent422.00.0018950.250.000474OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent8.00.50.10.05OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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