From ecbc7aa422ba83bd60754a7f23d2251f56abd4ec Mon Sep 17 00:00:00 2001 From: Harry Caufield Date: Sun, 14 Apr 2024 15:37:38 -0400 Subject: [PATCH] README updates --- README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 82e4ebe93..6c8559342 100644 --- a/README.md +++ b/README.md @@ -7,8 +7,6 @@ _OntoGPT_ is a Python package for extracting structured information from text with large language models (LLMs), _instruction prompts_, and ontology-based grounding. -Two different strategies for knowledge extraction are currently implemented in OntoGPT: - [For more details, please see the full documentation.](https://monarch-initiative.github.io/ontogpt/) ## Quick Start @@ -63,7 +61,7 @@ NOTE: We do not recommend hosting this webapp publicly without authentication. ## Evaluations -OpenAI's functions have been evaluated on test data. Please see the full documentation for details on these evaluations and how to reproduce them. +OntoGPT's functions have been evaluated on test data. Please see the full documentation for details on these evaluations and how to reproduce them. ## Related Projects @@ -83,7 +81,7 @@ OpenAI's functions have been evaluated on test data. Please see the full documen ## Citation -The information extraction approach used in OntoGPT, SPIRES, is described further in: Caufield JH, Hegde H, Emonet V, Harris NL, Joachimiak MP, Matentzoglu N, et al. Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning. arXiv publication: +The information extraction approach used in OntoGPT, SPIRES, is described further in: Caufield JH, Hegde H, Emonet V, Harris NL, Joachimiak MP, Matentzoglu N, et al. Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning. _Bioinformatics_, Volume 40, Issue 3, March 2024, btae104, [https://doi.org/10.1093/bioinformatics/btae104](https://doi.org/10.1093/bioinformatics/btae104). ## Acknowledgements