About this document
Automated Research Workflow Generation by sora.bayala is a document available to read on EtoBox.
The document presents a framework for the automated generation of comprehensive research workflows from full-text academic papers, particularly in the Natural Language Processing (NLP) domain. By employing Positive-Unlabeled Learning and large language models like ChatGPT, the framework effectively identifies workflow-descriptive paragraphs, generates workflow phrases, and categorizes them into structured stages, ultimately visualizing the workflows as flowcharts. This approach aims to enhance research repr
- Author
- sora.bayala
- Language
- EN