Automated REtrieval from TExt

A Python based pipeline for extraction of species occurrence data through the usage of large language models. Includes validation tools designed to handle model hallucinations for a scientific, rigorous use of LLM. Currently supports usage of GPT with more planned, including local and non-proprietary models. For more details on the methodology used please consult the references listed under each function, such as Kent, A. et al. (1995) , van Rijsbergen, C.J. (1979, ISBN:978-0408709293, Levenshtein, V.I. (1966) < https://nymity.ch/sybilhunting/pdf/Levenshtein1966a.pdf> and Klaus Krippendorff (2011) < https://repository.upenn.edu/handle/20.500.14332/2089>.


Reference manual

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install.packages("arete")

0.2 by Vasco V. Branco, 5 months ago


Browse source code at https://github.com/cran/arete


Authors: Vasco V. Branco [cre, aut] (ORCID: , Vaughn Shirey [ctb] , Thomas Merrien [ctb] , Pedro Cardoso [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports terra, cld2, stringr, reticulate, pdftools, fedmatch, kableExtra, dplyr, gecko, methods, ggplot2, jsonlite, googledrive, irr, rmarkdown

Suggests knitr


See at CRAN