Analyze content for component parts
Break down content into discrete statements for NLP tasks or further processing.
A research tool that uses abstractive proposition segmentation (APS) to break down complex text into meaningful components.
Explore Gemma (APS)
Gemma (APS) segments content into the individual facts, statements, and ideas expressed in text, providing a structured way to extract and work with the core informational units.
Break down content into discrete statements for NLP tasks or further processing.
Use generated content segments in larger content analysis projects such as grounding, retrieval, fact-checking, evaluation of generation tasks, and duplicate content detection.