Gemma (APS)

A research tool that uses abstractive proposition segmentation (APS) to break down complex text into meaningful components.

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.

Capabilities

find_in_page

Analyze content for component parts

Break down content into discrete statements for NLP tasks or further processing.

text_analysis

Combine with larger content analysis

Use generated content segments in larger content analysis projects such as grounding, retrieval, fact-checking, evaluation of generation tasks, and duplicate content detection.


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