登入
洞見 - Automatic Evaluation of Meeting Summarization
Evaluating Automatic Metrics for Meeting Summarization: Uncovering Limitations and Biases
Current automatic metrics struggle to accurately capture the nuances of meeting summarization, often masking or rewarding errors, and failing to reflect the severity of issues in generated summaries.
Comparison-Based Reference-Free Elo-Ranked Automatic Evaluation for Meeting Summarization
CREAM, a novel framework, addresses the unique challenges of evaluating meeting summaries by leveraging comparison-based metrics and an Elo ranking system to assess conciseness and completeness without requiring reference texts.
