Search Results for author: Nomi L. Harris

Found 4 papers, 3 papers with code

The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies

1 code implementation3 Apr 2024 Marcin P. Joachimiak, Mark A. Miller, J. Harry Caufield, Ryan Ly, Nomi L. Harris, Andrew Tritt, Christopher J. Mungall, Kristofer E. Bouchard

This approach not only ensures the ontology's relevance amidst the fast-paced advancements in AI but also significantly enhances its utility for researchers, developers, and educators by simplifying the integration of new AI concepts and methodologies.

MapperGPT: Large Language Models for Linking and Mapping Entities

1 code implementation5 Oct 2023 Nicolas Matentzoglu, J. Harry Caufield, Harshad B. Hegde, Justin T. Reese, Sierra Moxon, HyeongSik Kim, Nomi L. Harris, Melissa A Haendel, Christopher J. Mungall

Here we present MapperGPT, an approach that uses LLMs to review and refine mapping relationships as a post-processing step, in concert with existing high-recall methods that are based on lexical and structural heuristics.

Anatomy Data Integration +1

Gene Set Summarization using Large Language Models

no code implementations21 May 2023 Marcin P. Joachimiak, J. Harry Caufield, Nomi L. Harris, HyeongSik Kim, Christopher J. Mungall

This is typically done as a statistical enrichment analysis that measures the over- or under-representation of biological function terms associated with genes or their properties, based on curated assertions from a knowledge base (KB) such as the Gene Ontology (GO).

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