Croppie: AI-powered information extraction from natural language

Simple item page
cg.authorship.typesConsultanten
cg.contributor.affiliationInternational Institute of Tropical Agricultureen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeExcellence in Agronomy
cg.coverage.countryColombia
cg.coverage.iso3166-alpha2CO
cg.coverage.regionAmericas
cg.coverage.regionSouth America
cg.coverage.regionLatin America and the Caribbean
cg.creator.identifierSebastián García Acosta: 0000-0001-8285-885X
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.alliancebiovciatAGRICULTUREen
cg.subject.impactAreaClimate adaptation and mitigation
dc.contributor.authorGarcía-Acosta, Sebastianen
dc.date.accessioned2024-01-30T10:36:05Zen
dc.date.available2024-01-30T10:36:05Zen
dc.identifier.urihttps://hdl.handle.net/10568/138685
dc.titleCroppie: AI-powered information extraction from natural languageen
dcterms.abstractThis report addresses the fundamental challenge of extracting key fields from natural language text in the context of natural language processing (NLP). Focusing on Spanish text, our solution, integrated into Croppie, offers an efficient and precise method for extracting essential information. Emphasizing robustness to colloquial expressions and grammatical errors, the report discusses implementation alternatives and presents the implemented solution, with the code available on our GitHub repository. This functionality is crucial for automated decision-making by enhancing the understanding of context in natural language conversations.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationGarcía-Acosta, S. (2024) Croppie: AI-powered information extraction from natural language. 17 p.en
dcterms.extent17 p.en
dcterms.issued2024-01
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.subjectartificial intelligenceen
dcterms.subjectinteligencia artificialen
dcterms.subjectchatboten
dcterms.typeReport

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
20240118 - Croppie Report EiA AI.pdf
Size:
1.13 MB
Format:
Adobe Portable Document Format
Download

Collections

Alliance Bioversity CIAT Research conducted by Partners
Alliance Research Lever 3: Climate Action
CGIAR Initiative on Excellence in Agronomy