What are meeting summaries?
Fei Liu, Yang Liu · 2008
Significant research efforts have been devoted to speech summarization, including automatic approaches and evaluation metrics. However, a fundamental problem about what summaries are for the speech data and whether humans agree with each other remains unclear. This paper performs an analysis of human annotated extractive summaries using the ICSI meeting corpus with an aim to examine their consistency and the factors impacting human agreement. In addition to using Kappa statistics and ROUGE scores, we also proposed a sentence distance score and divergence distance as a quantitative measure. This study is expected to help better define the speech summarization problem.