Poverty of Speech

What problem does it solve?

This Skill helps clinicians and researchers identify instances of Poverty of Speech in interview transcripts by analyzing response brevity and elaboration.

Core Features & Use Cases

• Automates POS labeling for patient responses in clinical interviews and transcripts.
• Provides consistent criteria for brief, unelaborated replies to support research labeling and diagnostic assessment.
• Useful for building labeled datasets, benchmarking POS vs NO-POS, and guiding follow-up questions in interviews.

Quick Start

Provide a speech fragment and request a POS/NO-POS label. Example: classify: "I went to the store." Output: POS.