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add content to stub page about OntoGPT (#464)
* add content to stub page about OntoGPT * Update docs/tutorial/ontogpt.md --------- Co-authored-by: Nico Matentzoglu <nicolas.matentzoglu@gmail.com>
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# Using OntoGPT to boost ontology curation | ||
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- Tool: https://github.com/monarch-initiative/ontogpt | ||
- Preprint: https://arxiv.org/abs/2304.02711 | ||
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: | ||
- SPIRES: A Zero-shot learning (ZSL) approach to extracting nested semantic structures from text | ||
- TALISMAN (previously known as SPINDOCTOR): Summarizes gene set descriptions (pseudo gene-set enrichment) | ||
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More info about OntoGPT: | ||
- Documentation: <https://monarch-initiative.github.io/ontogpt/> | ||
- Source: <https://github.com/monarch-initiative/ontogpt> | ||
- Preprints: | ||
- 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. <http://arxiv.org/abs/2304.02711> | ||
- Joachimiak MP, Caufield JH, Harris NL, Kim H, Mungall CJ. Gene Set Summarization using Large Language Models. <http://arxiv.org/abs/2305.13338> | ||
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We are also working on a curation-specific tool, [CurateGPT](https://github.com/monarch-initiative/curate-gpt), | ||
a prototype web application and framework for performing general purpose AI-guided curation and curation-related operations over collections of objects. |