PropertyValue
?:about
?:abstract
  • In the realm of addressing global warming, the development and implementation of effective policies play a pivotal role. Given the vast amount of legislative documents generated annually, it becomes imperative to have a system in place that can efficiently analyze these documents to identify measures aimed at climate change mitigation. This article outlines the design of an innovative system that employs GPT-4, a state-of-the-art language model developed by OpenAI, to evaluate climate change policy. The proposed system is designed to ingest legislative documents as input and utilize GPT-4 to identify, categorize, and evaluate the policies within these documents that are related to climate change mitigation efforts. The system would be capable of processing a wide range of document formats and languages, thanks to GPT-4's multimodal and multilingual capabilities. (xsd:string)
?:contributor
?:dateModified
  • 2024 (xsd:gyear)
?:datePublished
  • 2024 (xsd:gyear)
?:duplicate
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:inLanguage
  • en (xsd:string)
?:linksURN
is ?:mainEntity of
?:name
  • Designing an Evaluation System for Climate Change Mitigation Policies using GPT-4 (xsd:string)
?:provider
?:publicationType
  • Arbeitspapier (xsd:string)
?:sourceInfo
  • GESIS-SSOAR (xsd:string)
rdf:type
?:url
?:urn
  • urn:nbn:de:0168-ssoar-93781-2 ()